quantitative hydrogeology



Hiscock Kevin M. Hydrogeology. Principles and Practice Hiscock Kevin M. Hydrogeology. Principles and Practice Новинка

Hiscock Kevin M. Hydrogeology. Principles and Practice

11606 руб.
Hydrogeology: Principles and Practice provides a comprehensive introduction to the study of hydrogeology to enable the reader to appreciate the significance of groundwater in meeting current and future water resource challenges. This new edition has been thoroughly updated to reflect advances in the field since 2004. The book presents a systematic approach to understanding groundwater. Earlier chapters explain the fundamental physical and chemical principles of hydrogeology, and later chapters feature groundwater investigation techniques in the context of catchment processes, as well as chapters on groundwater quality and contaminant hydrogeology. Unique features of the book are chapters on the applications of environmental isotopes and noble gases in the interpretation of aquifer evolution, and on regional characteristics such as topography, compaction and variable fluid density in the explanation of geological processes affecting past, present and future groundwater flow regimes. The last chapter discusses groundwater resources and environmental management, and examines the role of groundwater in integrated river basin management, including an assessment of possible adaptation responses to the impacts of climate change. Throughout the text, boxes and a set of colour plates drawn from the authors’ teaching and research experience are used to explain special topics and to illustrate international case studies ranging from transboundary aquifers and submarine groundwater discharge to the over-pressuring of groundwater in sedimentary basins. The appendices provide conversion tables and useful reference material, and include review questions and exercises, with answers, to help develop the reader’s knowledge and problem-solving skills in hydrogeology. This accessible textbook is essential reading for undergraduate and graduate students primarily in earth sciences, environmental sciences and physical geography with an interest in hydrogeology or groundwater science. The book will also find use among practitioners in hydrogeology, soil science, civil engineering and planning who are involved in environmental and resource protection issues requiring an understanding of groundwater. Additional resources can be found at: www.wiley.com/go/hiscock/hydrogeology
Rick Brassington Field Hydrogeology Rick Brassington Field Hydrogeology Новинка

Rick Brassington Field Hydrogeology

4147.85 руб.
The fourth edition of this bestselling textbook has been fully revised in order to present the most up-to-date and comprehensive guide to completing a hydrogeological study. Beautifully presented with full colour photos and diagrams throughout, Field Hydrogeology retains its practical pocket size for easy use in the field. This new edition includes all the recent developments in the environmental regulations, with particular focus on the use of innovative technology. New topics include geothermal energy, soakaways, marrying manual water level readings with logger records, prediction of long-term drawdown and lateral extent of impacts, and flow measurement in locations with small head gradients. With case studies and text boxes to aid comprehension, and a particular emphasis on practical application, this is an essential tool for students taking Hydrogeology and/or field course modules in Geology, Earth Sciences, Hydrogeology and Engineering courses.
Ernie Chan Quantitative Trading. How to Build Your Own Algorithmic Trading Business Ernie Chan Quantitative Trading. How to Build Your Own Algorithmic Trading Business Новинка

Ernie Chan Quantitative Trading. How to Build Your Own Algorithmic Trading Business

4643.95 руб.
While institutional traders continue to implement quantitative (or algorithmic) trading, many independent traders have wondered if they can still challenge powerful industry professionals at their own game? The answer is «yes,» and in Quantitative Trading, Dr. Ernest Chan, a respected independent trader and consultant, will show you how. Whether you're an independent «retail» trader looking to start your own quantitative trading business or an individual who aspires to work as a quantitative trader at a major financial institution, this practical guide contains the information you need to succeed.
Steve Bell Quantitative Finance For Dummies Steve Bell Quantitative Finance For Dummies Новинка

Steve Bell Quantitative Finance For Dummies

1637.85 руб.
An accessible, thorough introduction to quantitative finance Does the complex world of quantitative finance make you quiver? You're not alone! It's a tough subject for even high-level financial gurus to grasp, but Quantitative Finance For Dummies offers plain-English guidance on making sense of applying mathematics to investing decisions. With this complete guide, you'll gain a solid understanding of futures, options and risk, and get up-to-speed on the most popular equations, methods, formulas and models (such as the Black-Scholes model) that are applied in quantitative finance. Also known as mathematical finance, quantitative finance is the field of mathematics applied to financial markets. It's a highly technical discipline—but almost all investment companies and hedge funds use quantitative methods. This fun and friendly guide breaks the subject of quantitative finance down to easily digestible parts, making it approachable for personal investors and finance students alike. With the help of Quantitative Finance For Dummies, you'll learn the mathematical skills necessary for success with quantitative finance, the most up-to-date portfolio and risk management applications and everything you need to know about basic derivatives pricing. Covers the core models, formulas and methods used in quantitative finance Includes examples and brief exercises to help augment your understanding of QF Provides an easy-to-follow introduction to the complex world of quantitative finance Explains how QF methods are used to define the current market value of a derivative security Whether you're an aspiring quant or a top-tier personal investor, Quantitative Finance For Dummies is your go-to guide for coming to grips with QF/risk management.
Wesley R. Gray Quantitative Value. A Practitioner's Guide to Automating Intelligent Investment and Eliminating Behavioral Errors Wesley R. Gray Quantitative Value. A Practitioner's Guide to Automating Intelligent Investment and Eliminating Behavioral Errors Новинка

Wesley R. Gray Quantitative Value. A Practitioner's Guide to Automating Intelligent Investment and Eliminating Behavioral Errors

5482.44 руб.
A must-read book on the quantitative value investment strategy Warren Buffett and Ed Thorp represent two spectrums of investing: one value driven, one quantitative. Where they align is in their belief that the market is beatable. This book seeks to take the best aspects of value investing and quantitative investing as disciplines and apply them to a completely unique approach to stock selection. Such an approach has several advantages over pure value or pure quantitative investing. This new investing strategy framed by the book is known as quantitative value, a superior, market-beating method to investing in stocks. Quantitative Value provides practical insights into an investment strategy that links the fundamental value investing philosophy of Warren Buffett with the quantitative value approach of Ed Thorp. It skillfully combines the best of Buffett and Ed Thorp—weaving their investment philosophies into a winning, market-beating investment strategy. First book to outline quantitative value strategies as they are practiced by actual market practitioners of the discipline Melds the probabilities and statistics used by quants such as Ed Thorp with the fundamental approaches to value investing as practiced by Warren Buffett and other leading value investors A companion Website contains supplementary material that allows you to learn in a hands-on fashion long after closing the book If you're looking to make the most of your time in today's markets, look no further than Quantitative Value.
Bharat Kolluri Solutions Manual to Accompany Introduction to Quantitative Methods in Business: with Applications Using Microsoft Office Excel Bharat Kolluri Solutions Manual to Accompany Introduction to Quantitative Methods in Business: with Applications Using Microsoft Office Excel Новинка

Bharat Kolluri Solutions Manual to Accompany Introduction to Quantitative Methods in Business: with Applications Using Microsoft Office Excel

2302.18 руб.
Solutions Manual to accompany Introduction to Quantitative Methods in Business: With Applications Using Microsoft® Office Excel®
Rishi Narang K. Inside the Black Box. The Simple Truth About Quantitative Trading Rishi Narang K. Inside the Black Box. The Simple Truth About Quantitative Trading Новинка

Rishi Narang K. Inside the Black Box. The Simple Truth About Quantitative Trading

3221.74 руб.
Inside The Black Box The Simple Truth About Quantitative Trading Rishi K Narang Praise for Inside the Black Box «In Inside the Black Box: The Simple Truth About Quantitative Trading, Rishi Narang demystifies quantitative trading. His explanation and classification of alpha will enlighten even a seasoned veteran.» ?Blair Hull, Founder, Hull Trading & Matlock Trading «Rishi provides a comprehensive overview of quantitative investing that should prove useful both to those allocating money to quant strategies and those interested in becoming quants themselves. Rishi's experience as a well-respected quant fund of funds manager and his solid relationships with many practitioners provide ample useful material for his work.» ?Peter Muller, Head of Process Driven Trading, Morgan Stanley «A very readable book bringing much needed insight into a subject matter that is not often covered. Provides a framework and guidance that should be valuable to both existing investors and those looking to invest in this area for the first time. Many quants should also benefit from reading this book.» ?Steve Evans, Managing Director of Quantitative Trading, Tudor Investment Corporation «Without complex formulae, Narang, himself a leading practitioner, provides an insightful taxonomy of systematic trading strategies in liquid instruments and a framework for considering quantitative strategies within a portfolio. This guide enables an investor to cut through the hype and pretense of secrecy surrounding quantitative strategies.» ?Ross Garon, Managing Director, Quantitative Strategies, S.A.C. Capital Advisors, L.P. «Inside the Black Box is a comprehensive, yet easy read. Rishi Narang provides a simple framework for understanding quantitative money management and proves that it is not a black box but rather a glass box for those inside.» ?Jean-Pierre Aguilar, former founder and CEO, Capital Fund Management «This book is great for anyone who wants to understand quant trading, without digging in to the equations. It explains the subject in intuitive, economic terms.» ?Steven Drobny, founder, Drobny Global Asset Management, and author, Inside the House of Money «Rishi Narang does an excellent job demystifying how quants work, in an accessible and fun read. This book should occupy a key spot on anyone's bookshelf who is interested in understanding how this ever increasing part of the investment universe actually operates.» ?Matthew S. Rothman, PhD, Global Head of Quantitative Equity Strategies Barclays Capital «Inside the Black Box provides a comprehensive and intuitive introduction to „quant“ strategies. It succinctly explains the building blocks of such strategies and how they fit together, while conveying the myriad possibilities and design details it takes to build a successful model driven investment strategy.» ?Asriel Levin, PhD, Managing Member, Menta Capital, LLC
Jerald Pinto E. Quantitative Investment Analysis Workbook Jerald Pinto E. Quantitative Investment Analysis Workbook Новинка

Jerald Pinto E. Quantitative Investment Analysis Workbook

2902.47 руб.
Hands-on quantitative analysis practice based on real-world scenarios The Quantitative Investment Analysis Workbook provides a key component of effective learning: practice. As the companion piece to Quantitative Investment Analysis, this workbook aligns with the text chapter-by-chapter to give you the focused, targeted exercises you need to fully understand each topic. Each chapter explicitly lays out the learning objectives so you understand the 'why' of each problem, and brief chapter summaries help refresh your memory on key points before you begin working. The practice problems themselves reinforce the practitioner-oriented text, and are designed to mirror the real-world problems encountered every day in the field. Solutions are provided to all of the problems for those who self-study, and an optional online Instructor's manual brings this book into the classroom with ease. Quantitative analysis is essential to the investment process, but hypothetical 'pie-in-the-sky' type practice scenarios only waste your time. You need a globally relevant application guide with roots in the real-world industry, so you can spend your time preparing for scenarios that you'll actually encounter. This workbook is your answer, with practice problems covering the complete range of quantitative methods. Refresh your memory with succinct chapter summaries Enhance your understanding with topic-specific practice problems Work toward explicit chapter objectives to internalize key information Practice important techniques with real-world applications Consistent mathematical notation, topic coverage continuity, and evenness of subject matter treatment are critical to the learning process. This workbook lives up to its reputation of clarity, and provides investment-oriented practice based on actual changes taking place in the global investment community. For those who want a practical route to mastering quantitative methods, the Quantitative Investment Analysis Workbook is your real-world solution.
Jerald Pinto E. Quantitative Investment Analysis Jerald Pinto E. Quantitative Investment Analysis Новинка

Jerald Pinto E. Quantitative Investment Analysis

6449.93 руб.
Your complete guide to quantitative analysis in the investment industry Quantitative Investment Analysis, Third Edition is a newly revised and updated text that presents you with a blend of theory and practice materials to guide you through the use of statistics within the context of finance and investment. With equal focus on theoretical concepts and their practical applications, this approachable resource offers features, such as learning outcome statements, that are targeted at helping you understand, retain, and apply the information you have learned. Throughout the text's chapters, you explore a wide range of topics, such as the time value of money, discounted cash flow applications, common probability distributions, sampling and estimation, hypothesis testing, and correlation and regression. Applying quantitative analysis to the investment process is an important task for investment pros and students. A reference that provides even subject matter treatment, consistent mathematical notation, and continuity in topic coverage will make the learning process easier—and will bolster your success. Explore the materials you need to apply quantitative analysis to finance and investment data—even if you have no previous knowledge of this subject area Access updated content that offers insight into the latest topics relevant to the field Consider a wide range of subject areas within the text, including chapters on multiple regression, issues in regression analysis, time-series analysis, and portfolio concepts Leverage supplemental materials, including the companion Workbook and Instructor's Manual, sold separately Quantitative Investment Analysis, Third Edition is a fundamental resource that covers the wide range of quantitative methods you need to know in order to apply quantitative analysis to the investment process.
Frank Fabozzi J. Quantitative Equity Investing. Techniques and Strategies Frank Fabozzi J. Quantitative Equity Investing. Techniques and Strategies Новинка

Frank Fabozzi J. Quantitative Equity Investing. Techniques and Strategies

6127.43 руб.
A comprehensive look at the tools and techniques used in quantitative equity management Some books attempt to extend portfolio theory, but the real issue today relates to the practical implementation of the theory introduced by Harry Markowitz and others who followed. The purpose of this book is to close the implementation gap by presenting state-of-the art quantitative techniques and strategies for managing equity portfolios. Throughout these pages, Frank Fabozzi, Sergio Focardi, and Petter Kolm address the essential elements of this discipline, including financial model building, financial engineering, static and dynamic factor models, asset allocation, portfolio models, transaction costs, trading strategies, and much more. They also provide ample illustrations and thorough discussions of implementation issues facing those in the investment management business and include the necessary background material in probability, statistics, and econometrics to make the book self-contained. Written by a solid author team who has extensive financial experience in this area Presents state-of-the art quantitative strategies for managing equity portfolios Focuses on the implementation of quantitative equity asset management Outlines effective analysis, optimization methods, and risk models In today's financial environment, you have to have the skills to analyze, optimize and manage the risk of your quantitative equity investments. This guide offers you the best information available to achieve this goal.
Krishnan Kannan Quantitative Modeling in Toxicology Krishnan Kannan Quantitative Modeling in Toxicology Новинка

Krishnan Kannan Quantitative Modeling in Toxicology

14860.64 руб.
Governments around the world are passing laws requiring industry to assess the toxicity of the chemicals and products they produce, but to do so while reducing, refining, or even replacing testing on animals. To meet these requirements, experimental toxicologists and risk assessors are adopting quantitative approaches and computer simulations to study the biological fate and effects of chemicals and drugs. In Quantitative Modeling in Toxicology leading experts outline the current state of knowledge on the modeling of dose, tissue interactions and tissue responses. Each chapter describes the mathematical foundation, parameter estimation, challenges and perspectives for development, along with the presentation of a modeling template. Additionally, tools and approaches for conducting uncertainty, sensitivity and variability analyses in these models are described. Topics covered include: the quantitative models of pharmacokinetics of individual chemicals and mixtures models for toxicant-target tissue interaction. models for cellular, organ, and organism responses. approaches, tools and challenges for model application and evaluation A website containing computer codes accompanies the book to help the reader reconstruct the models described and discussed in the various chapters. Quantitative Modeling in Toxicology serves as an essential reference source and tool box for risk assessors and researchers and students in toxicology, public health, pharmacology, and human toxicology interested in developing quantitative models for a better understanding of dose-response relationships.
Constantin Zopounidis Quantitative Financial Risk Management. Theory and Practice Constantin Zopounidis Quantitative Financial Risk Management. Theory and Practice Новинка

Constantin Zopounidis Quantitative Financial Risk Management. Theory and Practice

8062.41 руб.
A Comprehensive Guide to Quantitative Financial Risk Management Written by an international team of experts in the field, Quantitative Financial Risk Management: Theory and Practice provides an invaluable guide to the most recent and innovative research on the topics of financial risk management, portfolio management, credit risk modeling, and worldwide financial markets. This comprehensive text reviews the tools and concepts of financial management that draw on the practices of economics, accounting, statistics, econometrics, mathematics, stochastic processes, and computer science and technology. Using the information found in Quantitative Financial Risk Management can help professionals to better manage, monitor, and measure risk, especially in today's uncertain world of globalization, market volatility, and geo-political crisis. Quantitative Financial Risk Management delivers the information, tools, techniques, and most current research in the critical field of risk management. This text offers an essential guide for quantitative analysts, financial professionals, and academic scholars.
Martin William E. Quantitative and Statistical Research Methods. From Hypothesis to Results Martin William E. Quantitative and Statistical Research Methods. From Hypothesis to Results Новинка

Martin William E. Quantitative and Statistical Research Methods. From Hypothesis to Results

7352.92 руб.
Quantitative and Statistical Research Methods This user-friendly textbook teaches students to understand and apply procedural steps in completing quantitative studies. It explains statistics while progressing through the steps of the hypothesis-testing process from hypothesis to results. The research problems used in the book reflect statistical applications related to interesting and important topics. In addition, the book provides a Research Analysis and Interpretation Guide to help students analyze research articles. Designed as a hands-on resource, each chapter covers a single research problem and offers directions for implementing the research method from start to finish. Readers will learn how to: Pinpoint research questions and hypotheses Identify, classify, and operationally define the study variables Choose appropriate research designs Conduct power analysis Select an appropriate statistic for the problem Use a data set Conduct data screening and analyses using SPSS Interpret the statistics Write the results related to the problem Quantitative and Statistical Research Methods allows students to immediately, independently, and successfully apply quantitative methods to their own research projects.
Frances Stage K. New Scholarship in Critical Quantitative Research, Part 2: New Populations, Approaches, and Challenges. New Directions for Institutional Research, Number 163 Frances Stage K. New Scholarship in Critical Quantitative Research, Part 2: New Populations, Approaches, and Challenges. New Directions for Institutional Research, Number 163 Новинка

Frances Stage K. New Scholarship in Critical Quantitative Research, Part 2: New Populations, Approaches, and Challenges. New Directions for Institutional Research, Number 163

2228.52 руб.
This volume is the second in a two-part series on differentiating approaches to quantitative research from more traditional positivistic and postpositivistic approaches. While the first volume provided an expanded conceptualization of critical quantitative inquiry, this volume concludes the series by: applying critical quantitative approaches to new populations of college students who are rarely addressed in institutional and higher education research, such as American Indian, Alaska Native, and students with disabilities, applying the principles of quantitative criticalism to advanced methods of statistical analysis, and discussing the variety of challenges to overcome and presenting a future research agenda using these methods. This work is of interest to institutional and higher education researchers who want to expand and critique new ways of thinking about the broad array of populations participating in and served by higher education, while keeping in mind the goals of revealing inequity, challenging marginalization, and helping all students to succeed. This is the 163rd volume of this Jossey-Bass quarterly report series. Timely and comprehensive, New Directions for Institutional Research provides planners and administrators in all types of academic institutions with guidelines in such areas as resource coordination, information analysis, program evaluation, and institutional management.
Anderson de Souza Sant'Ana Quantitative Microbiology in Food Processing. Modeling the Microbial Ecology Anderson de Souza Sant'Ana Quantitative Microbiology in Food Processing. Modeling the Microbial Ecology Новинка

Anderson de Souza Sant'Ana Quantitative Microbiology in Food Processing. Modeling the Microbial Ecology

16801.44 руб.
Microorganisms are essential for the production of many foods, including cheese, yoghurt, and bread, but they can also cause spoilage and diseases. Quantitative Microbiology of Food Processing: Modeling the Microbial Ecology explores the effects of food processing techniques on these microorganisms, the microbial ecology of food, and the surrounding issues concerning contemporary food safety and stability. Whilst literature has been written on these separate topics, this book seamlessly integrates all these concepts in a unique and comprehensive guide. Each chapter includes background information regarding a specific unit operation, discussion of quantitative aspects, and examples of food processes in which the unit operation plays a major role in microbial safety. This is the perfect text for those seeking to understand the quantitative effects of unit operations and beyond on the fate of foodborne microorganisms in different foods. Quantitative Microbiology of Food Processing is an invaluable resource for students, scientists, and professionals of both food engineering and food microbiology.
Hasan Khatib Molecular and Quantitative Animal Genetics Hasan Khatib Molecular and Quantitative Animal Genetics Новинка

Hasan Khatib Molecular and Quantitative Animal Genetics

7913.59 руб.
Animal genetics is a foundational discipline in the fields of animal science, animal breeding, and veterinary sciences. While genetics underpins the healthy development and breeding of all living organisms, this is especially true in domestic animals, specifically with respect to breeding for key traits. Molecular and Quantitative Animal Genetics is a new textbook that takes an innovative approach, looking at both quantitative and molecular breeding approaches. The bookprovides a comprehensive introduction to genetic principles and their applications in animal breeding. This text provides a useful overview for those new to the field of animal genetics and breeding, covering a diverse array of topics ranging from population and quantitative genetics to epigenetics and biotechnology. Molecular and Quantitative Animal Genetics will be an important and invaluable educational resource for undergraduate and graduate students and animal agriculture professionals. Divided into six sections pairing fundamental principles with useful applications, the book's comprehensive coverage will make it an ideal fit for students studying animal breeding and genetics at any level.
Tony Guida Big Data and Machine Learning in Quantitative Investment Tony Guida Big Data and Machine Learning in Quantitative Investment Новинка

Tony Guida Big Data and Machine Learning in Quantitative Investment

4289.2 руб.
Get to know the ‘why’ and ‘how’ of machine learning and big data in quantitative investment Big Data and Machine Learning in Quantitative Investment is not just about demonstrating the maths or the coding. Instead, it’s a book by practitioners for practitioners, covering the questions of why and how of applying machine learning and big data to quantitative finance. The book is split into 13 chapters, each of which is written by a different author on a specific case. The chapters are ordered according to the level of complexity; beginning with the big picture and taxonomy, moving onto practical applications of machine learning and finally finishing with innovative approaches using deep learning. • Gain a solid reason to use machine learning • Frame your question using financial markets laws • Know your data • Understand how machine learning is becoming ever more sophisticated Machine learning and big data are not a magical solution, but appropriately applied, they are extremely effective tools for quantitative investment – and this book shows you how.
Paolo Brandimarte Quantitative Methods. An Introduction for Business Management Paolo Brandimarte Quantitative Methods. An Introduction for Business Management Новинка

Paolo Brandimarte Quantitative Methods. An Introduction for Business Management

11222.88 руб.
An accessible introduction to the essential quantitative methods for making valuable business decisions Quantitative methods-research techniques used to analyze quantitative data-enable professionals to organize and understand numbers and, in turn, to make good decisions. Quantitative Methods: An Introduction for Business Management presents the application of quantitative mathematical modeling to decision making in a business management context and emphasizes not only the role of data in drawing conclusions, but also the pitfalls of undiscerning reliance of software packages that implement standard statistical procedures. With hands-on applications and explanations that are accessible to readers at various levels, the book successfully outlines the necessary tools to make smart and successful business decisions. Progressing from beginner to more advanced material at an easy-to-follow pace, the author utilizes motivating examples throughout to aid readers interested in decision making and also provides critical remarks, intuitive traps, and counterexamples when appropriate. The book begins with a discussion of motivations and foundations related to the topic, with introductory presentations of concepts from calculus to linear algebra. Next, the core ideas of quantitative methods are presented in chapters that explore introductory topics in probability, descriptive and inferential statistics, linear regression, and a discussion of time series that includes both classical topics and more challenging models. The author also discusses linear programming models and decision making under risk as well as less standard topics in the field such as game theory and Bayesian statistics. Finally, the book concludes with a focus on selected tools from multivariate statistics, including advanced regression models and data reduction methods such as principal component analysis, factor analysis, and cluster analysis. The book promotes the importance of an analytical approach, particularly when dealing with a complex system where multiple individuals are involved and have conflicting incentives. A related website features Microsoft Excel® workbooks and MATLAB® scripts to illustrate concepts as well as additional exercises with solutions. Quantitative Methods is an excellent book for courses on the topic at the graduate level. The book also serves as an authoritative reference and self-study guide for financial and business professionals, as well as readers looking to reinforce their analytical skills.
Quantitative Spectroscopy and applications in space science Quantitative Spectroscopy and applications in space science Новинка

Quantitative Spectroscopy and applications in space science

205 руб.
"Количественная спектроскопия и приложения в космической науке". Материалы симпозиума, проведенного в Калифорнийском Институте Технологий, Пасадена март 1963 г.
Bharat Kolluri Introduction to Quantitative Methods in Business. With Applications Using Microsoft Office Excel Bharat Kolluri Introduction to Quantitative Methods in Business. With Applications Using Microsoft Office Excel Новинка

Bharat Kolluri Introduction to Quantitative Methods in Business. With Applications Using Microsoft Office Excel

9607.59 руб.
A well-balanced and accessible introduction to the elementary quantitative methods and Microsoft® Office Excel® applications used to guide business decision making Featuring quantitative techniques essential for modeling modern business situations, Introduction to Quantitative Methods in Business: With Applications Using Microsoft® Office Excel® provides guidance to assessing real-world data sets using Excel. The book presents a balanced approach to the mathematical tools and techniques with applications used in the areas of business, finance, economics, marketing, and operations. The authors begin by establishing a solid foundation of basic mathematics and statistics before moving on to more advanced concepts. The first part of the book starts by developing basic quantitative techniques such as arithmetic operations, functions and graphs, and elementary differentiations (rates of change), and integration. After a review of these techniques, the second part details both linear and nonlinear models of business activity. Extensively classroom-tested, Introduction to Quantitative Methods in Business: With Applications Using Microsoft® Office Excel® also includes: Numerous examples and practice problems that emphasize real-world business quantitative techniques and applications Excel-based computer software routines that explore calculations for an assortment of tasks, including graphing, formula usage, solving equations, and data analysis End-of-chapter sections detailing the Excel applications and techniques used to address data and solutions using large data sets A companion website that includes chapter summaries, Excel data sets, sample exams and quizzes, lecture slides, and an Instructors’ Solutions Manual Introduction to Quantitative Methods in Business: With Applications Using Microsoft® Office Excel® is an excellent textbook for undergraduate-level courses on quantitative methods in business, economics, finance, marketing, operations, and statistics. The book is also an ideal reference for readers with little or no quantitative background who require a better understanding of basic mathematical and statistical concepts used in economics and business. Bharat Kolluri, Ph.D., is Professor of Economics in the Department of Economics, Finance, and Insurance at the University of Hartford. A member of the American Economics Association, his research interests include econometrics, business statistics, quantitative decision making, applied macroeconomics, applied microeconomics, and corporate finance. Michael J. Panik, Ph.D., is Professor Emeritus in the Department of Economics, Finance, and Insurance at the University of Hartford. He has served as a consultant to the Connecticut Department of Motor Vehicles as well as to a variety of health care organizations. In addition, Dr. Panik is the author of numerous books, including Growth Curve Modeling: Theory and Applications and Statistical Inference: A Short Course, both published by Wiley. Rao N. Singamsetti, Ph.D., is Associate Professor in the Department of Economics, Finance, and Insurance at the University of Hartford. A member of the American Economics Association, his research interests include the status of war on poverty in the United States since the 1960s and forecasting foreign exchange rates using econometric methods.
Manoj Thulasidas Principles of Quantitative Development Manoj Thulasidas Principles of Quantitative Development Новинка

Manoj Thulasidas Principles of Quantitative Development

8762.42 руб.
Principles of Quantitative Development is a practical guide to designing, building and deploying a trading platform. It is also a lucid and succinct exposé on the trade life cycle and the business groups involved in managing it, bringing together the big picture of how a trade flows through the systems, and the role of a quantitative professional in the organization. The book begins by looking at the need and demand for in-house trading platforms, addressing the current trends in the industry. It then looks at the trade life cycle and its participants, from beginning to end, and then the functions within the front, middle and back office, giving the reader a full understanding and appreciation of the perspectives and needs of each function. The book then moves on to platform design, addressing all the fundamentals of platform design, system architecture, programming languages and choices. Finally, the book focuses on some of the more technical aspects of platform design and looks at traditional and new languages and approaches used in modern quantitative development. The book is accompanied by a CD-ROM, featuring a fully working option pricing tool with source code and project building instructions, illustrating the design principles discussed, and enabling the reader to develop a mini-trading platform. The book is also accompanied by a website http://pqd.thulasidas.com that contains updates and companion materials.
Ingvar Eidhammer Computational and Statistical Methods for Protein Quantification by Mass Spectrometry Ingvar Eidhammer Computational and Statistical Methods for Protein Quantification by Mass Spectrometry Новинка

Ingvar Eidhammer Computational and Statistical Methods for Protein Quantification by Mass Spectrometry

8220.6 руб.
The definitive introduction to data analysis in quantitative proteomics This book provides all the necessary knowledge about mass spectrometry based proteomics methods and computational and statistical approaches to pursue the planning, design and analysis of quantitative proteomics experiments. The author’s carefully constructed approach allows readers to easily make the transition into the field of quantitative proteomics. Through detailed descriptions of wet-lab methods, computational approaches and statistical tools, this book covers the full scope of a quantitative experiment, allowing readers to acquire new knowledge as well as acting as a useful reference work for more advanced readers. Computational and Statistical Methods for Protein Quantification by Mass Spectrometry: Introduces the use of mass spectrometry in protein quantification and how the bioinformatics challenges in this field can be solved using statistical methods and various software programs. Is illustrated by a large number of figures and examples as well as numerous exercises. Provides both clear and rigorous descriptions of methods and approaches. Is thoroughly indexed and cross-referenced, combining the strengths of a text book with the utility of a reference work. Features detailed discussions of both wet-lab approaches and statistical and computational methods. With clear and thorough descriptions of the various methods and approaches, this book is accessible to biologists, informaticians, and statisticians alike and is aimed at readers across the academic spectrum, from advanced undergraduate students to post doctorates entering the field.
Frances Stage K. New Scholarship in Critical Quantitative Research, Part 1: Studying Institutions and People in Context. New Directions for Institutional Research, Number 158 Frances Stage K. New Scholarship in Critical Quantitative Research, Part 1: Studying Institutions and People in Context. New Directions for Institutional Research, Number 158 Новинка

Frances Stage K. New Scholarship in Critical Quantitative Research, Part 1: Studying Institutions and People in Context. New Directions for Institutional Research, Number 158

2228.52 руб.
This volume presents work focused on underrepresented persons in a variety of levels of higher education. Each scholar has used critical quantitative approaches to examine access and/or success in the higher education arena. Their scholarship pushes the boundaries of what we know by questioning mainstream notions of higher education through: the examination of policies the re-framing of theories and measures the reexamination of traditional questions for nontraditional populations. The work is divergent, but the commonality of the presentations lies in each scholar’s critical approach to conventional quantitative scholarship. Their research highlights inequities and explores factors not typically included in conventional quantitative analysis. This is the 158th volume of this Jossey-Bass quarterly report series. Always timely and comprehensive, New Directions for Institutional Research provides planners and administrators in all types of academic institutions with guidelines in such areas as resource coordination, information analysis, program evaluation, and institutional management.
Bob Litterman Quantitative Risk Management. A Practical Guide to Financial Risk Bob Litterman Quantitative Risk Management. A Practical Guide to Financial Risk Новинка

Bob Litterman Quantitative Risk Management. A Practical Guide to Financial Risk

6127.43 руб.
State of the art risk management techniques and practices—supplemented with interactive analytics All too often risk management books focus on risk measurement details without taking a broader view. Quantitative Risk Management delivers a synthesis of common sense management together with the cutting-edge tools of modern theory. This book presents a road map for tactical and strategic decision making designed to control risk and capitalize on opportunities. Most provocatively it challenges the conventional wisdom that «risk management» is or ever should be delegated to a separate department. Good managers have always known that managing risk is central to a financial firm and must be the responsibility of anyone who contributes to the profit of the firm. A guide to risk management for financial firms and managers in the post-crisis world, Quantitative Risk Management updates the techniques and tools used to measure and monitor risk. These are often mathematical and specialized, but the ideas are simple. The book starts with how we think about risk and uncertainty, then turns to a practical explanation of how risk is measured in today's complex financial markets. Covers everything from risk measures, probability, and regulatory issues to portfolio risk analytics and reporting Includes interactive graphs and computer code for portfolio risk and analytics Explains why tactical and strategic decisions must be made at every level of the firm and portfolio Providing the models, tools, and techniques firms need to build the best risk management practices, Quantitative Risk Management is an essential volume from an experienced manager and quantitative analyst.
Manoj Thulasidas Principles of Quantitative Development Manoj Thulasidas Principles of Quantitative Development Новинка

Manoj Thulasidas Principles of Quantitative Development

8823.5 руб.
Principles of Quantitative Development is a practical guide to designing, building and deploying a trading platform. It is also a lucid and succinct exposé on the trade life cycle and the business groups involved in managing it, bringing together the big picture of how a trade flows through the systems, and the role of a quantitative professional in the organization. The book begins by looking at the need and demand for in-house trading platforms, addressing the current trends in the industry. It then looks at the trade life cycle and its participants, from beginning to end, and then the functions within the front, middle and back office, giving the reader a full understanding and appreciation of the perspectives and needs of each function. The book then moves on to platform design, addressing all the fundamentals of platform design, system architecture, programming languages and choices. Finally, the book focuses on some of the more technical aspects of platform design and looks at traditional and new languages and approaches used in modern quantitative development. The book is accompanied by a CD-ROM, featuring a fully working option pricing tool with source code and project building instructions, illustrating the design principles discussed, and enabling the reader to develop a mini-trading platform. The book is also accompanied by a website http://pqd.thulasidas.com that contains updates and companion materials.
Lev Dynkin Quantitative Credit Portfolio Management. Practical Innovations for Measuring and Controlling Liquidity, Spread, and Issuer Concentration Risk Lev Dynkin Quantitative Credit Portfolio Management. Practical Innovations for Measuring and Controlling Liquidity, Spread, and Issuer Concentration Risk Новинка

Lev Dynkin Quantitative Credit Portfolio Management. Practical Innovations for Measuring and Controlling Liquidity, Spread, and Issuer Concentration Risk

7094.92 руб.
An innovative approach to post-crash credit portfolio management Credit portfolio managers traditionally rely on fundamental research for decisions on issuer selection and sector rotation. Quantitative researchers tend to use more mathematical techniques for pricing models and to quantify credit risk and relative value. The information found here bridges these two approaches. In an intuitive and readable style, this book illustrates how quantitative techniques can help address specific questions facing today's credit managers and risk analysts. A targeted volume in the area of credit, this reliable resource contains some of the most recent and original research in this field, which addresses among other things important questions raised by the credit crisis of 2008-2009. Divided into two comprehensive parts, Quantitative Credit Portfolio Management offers essential insights into understanding the risks of corporate bonds—spread, liquidity, and Treasury yield curve risk—as well as managing corporate bond portfolios. Presents comprehensive coverage of everything from duration time spread and liquidity cost scores to capturing the credit spread premium Written by the number one ranked quantitative research group for four consecutive years by Institutional Investor Provides practical answers to difficult question, including: What diversification guidelines should you adopt to protect portfolios from issuer-specific risk? Are you well-advised to sell securities downgraded below investment grade? Credit portfolio management continues to evolve, but with this book as your guide, you can gain a solid understanding of how to manage complex portfolios under dynamic events.
Michael Albers J. Introduction to Quantitative Data Analysis in the Behavioral and Social Sciences Michael Albers J. Introduction to Quantitative Data Analysis in the Behavioral and Social Sciences Новинка

Michael Albers J. Introduction to Quantitative Data Analysis in the Behavioral and Social Sciences

6913.82 руб.
Guides readers through the quantitative data analysis process including contextualizing data within a research situation, connecting data to the appropriate statistical tests, and drawing valid conclusions Introduction to Quantitative Data Analysis in the Behavioral and Social Sciences presents a clear and accessible introduction to the basics of quantitative data analysis and focuses on how to use statistical tests as a key tool for analyzing research data. The book presents the entire data analysis process as a cyclical, multiphase process and addresses the processes of exploratory analysis, decision-making for performing parametric or nonparametric analysis, and practical significance determination. In addition, the author details how data analysis is used to reveal the underlying patterns and relationships between the variables and connects those trends to the data’s contextual situation. Filling the gap in quantitative data analysis literature, this book teaches the methods and thought processes behind data analysis, rather than how to perform the study itself or how to perform individual statistical tests. With a clear and conversational style, readers are provided with a better understanding of the overall structure and methodology behind performing a data analysis as well as the needed techniques to make informed, meaningful decisions during data analysis. The book features numerous data analysis examples in order to emphasize the decision and thought processes that are best followed, and self-contained sections throughout separate the statistical data analysis from the detailed discussion of the concepts allowing readers to reference a specific section of the book for immediate solutions to problems and/or applications. Introduction to Quantitative Data Analysis in the Behavioral and Social Sciences also features coverage of the following: • The overall methodology and research mind-set for how to approach quantitative data analysis and how to use statistics tests as part of research data analysis • A comprehensive understanding of the data, its connection to a research situation, and the most appropriate statistical tests for the data • Numerous data analysis problems and worked-out examples to illustrate the decision and thought processes that reveal underlying patterns and trends • Detailed examples of the main concepts to aid readers in gaining the needed skills to perform a full analysis of research problems • A conversational tone to effectively introduce readers to the basics of how to perform data analysis as well as make meaningful decisions during data analysis Introduction to Quantitative Data Analysis in the Behavioral and Social Sciences is an ideal textbook for upper-undergraduate and graduate-level research method courses in the behavioral and social sciences, statistics, and engineering. This book is also an appropriate reference for practitioners who require a review of quantitative research methods. Michael J. Albers, Ph.D., is Professor in the Department of English at East Carolina University. His research interests include information design with a focus on answering real-world questions, the presentation of complex information, and human–information interaction. Dr. Albers received his Ph.D. in Technical Communication and Rhetoric from Texas Tech University.
Patrick Bahls Student Writing in the Quantitative Disciplines. A Guide for College Faculty Patrick Bahls Student Writing in the Quantitative Disciplines. A Guide for College Faculty Новинка

Patrick Bahls Student Writing in the Quantitative Disciplines. A Guide for College Faculty

3250.76 руб.
Designing interesting problems and writing assignments is one of the chief tasks of all teachers, but it can be especially challenging to translate and apply learning theory, good teaching techniques, and writing assignments into STEM and other quantitative disciplines. Student Writing in the Quantitative Disciplines offers instructors in math-based disciplines meaningful approaches to making their coursework richer and more relevant for their students, as well as satisfying institutional imperatives for writing curricula. This important resource provides instructors with the hands-on skills needed to guide their students in writing well in quantitative courses at all levels of the college curriculum and to promote students' general cognitive and intellectual growth. Comprehensive in scope, the book includes: Ideas for using writing as a means of learning mathematical concepts Illustrative examples of effective writing activities and assignments in a number of different genres Assessment criteria and effective strategies for responding to students' writing Examples of ways to help students engage in peer review, revision, and resubmission of their written work «Those of us who spend our lives urging faculty in all disciplines to integrate more writing into their courses have wished for the day when someone like Patrick Bahls would step forward with a book like this one.»—Chris M. Anson, University Distinguished Professor and director, Campus Writing and Speaking Program, North Carolina State University «Written by a mathematician, this readable, theoretically sound book describes practical strategies for teachers in the quantitative sciences to assign and respond to students' writing. It also describes numerous approaches to writing that engage students in disciplinary learning, collaborative discovery, and effective communication.»—Art Young, Campbell Professor of English emeritus, Clemson University «Loaded with practical advice, this timely, important, and engaging book will be an invaluable resource for instructors wishing to bring the benefits of writing-to-learn to the quantitative disciplines. As a mathematician thoroughly grounded in writing-across-the-curriculum scholarship, Bahls brings humor, classroom experience, and pedagogical savvy to a mission he clearly loves—improving the quality of student learning in math and science.»—John C. Bean, professor, Seattle University, and author, Engaging Ideas
Serges Darolles Multi-factor Models and Signal Processing Techniques. Application to Quantitative Finance Serges Darolles Multi-factor Models and Signal Processing Techniques. Application to Quantitative Finance Новинка

Serges Darolles Multi-factor Models and Signal Processing Techniques. Application to Quantitative Finance

8685.12 руб.
With recent outbreaks of multiple large-scale financial crises, amplified by interconnected risk sources, a new paradigm of fund management has emerged. This new paradigm leverages “embedded” quantitative processes and methods to provide more transparent, adaptive, reliable and easily implemented “risk assessment-based” practices. This book surveys the most widely used factor models employed within the field of financial asset pricing. Through the concrete application of evaluating risks in the hedge fund industry, the authors demonstrate that signal processing techniques are an interesting alternative to the selection of factors (both fundamentals and statistical factors) and can provide more efficient estimation procedures, based on lq regularized Kalman filtering for instance. With numerous illustrative examples from stock markets, this book meets the needs of both finance practitioners and graduate students in science, econometrics and finance. Contents Foreword, Rama Cont. 1. Factor Models and General Definition. 2. Factor Selection. 3. Least Squares Estimation (LSE) and Kalman Filtering (KF) for Factor Modeling: A Geometrical Perspective. 4. A Regularized Kalman Filter (rgKF) for Spiky Data. Appendix: Some Probability Densities. About the Authors Serge Darolles is Professor of Finance at Paris-Dauphine University, Vice-President of QuantValley, co-founder of QAMLab SAS, and member of the Quantitative Management Initiative (QMI) scientific committee. His research interests include financial econometrics, liquidity and hedge fund analysis. He has written numerous articles, which have been published in academic journals. Patrick Duvaut is currently the Research Director of Telecom ParisTech, France. He is co-founder of QAMLab SAS, and member of the Quantitative Management Initiative (QMI) scientific committee. His fields of expertise encompass statistical signal processing, digital communications, embedded systems and QUANT finance. Emmanuelle Jay is co-founder and President of QAMLab SAS. She has worked at Aequam Capital as co-head of R&D since April 2011 and is member of the Quantitative Management Initiative (QMI) scientific committee. Her research interests include SP for finance, quantitative and statistical finance, and hedge fund analysis.
David Banks Water Wells and Boreholes David Banks Water Wells and Boreholes Новинка

David Banks Water Wells and Boreholes

6825.58 руб.
Water Wells and Boreholes focuses on wells that are used for drinking, industry, agriculture or other supply purposes. Other types of wells and boreholes are also covered, including boreholes for monitoring groundwater level and groundwater quality. This fully revised second edition updates and expands the content of the original book whilst maintaining its practical emphasis. The book follows a life-cycle approach to water wells, from identifying a suitable well site through to successful implementation, operation and maintenance of the well, to its eventual decommissioning. Completely revised and updated throughout, Water Wells and Boreholes, Second edition, is the ideal reference for final-year undergraduate students in geology and civil engineering; graduate students in hydrogeology, civil engineering and environmental sciences; research students who use well data in their research; professionals in hydrogeology, water engineering, environmental engineering and geotechnical engineering; and aid workers and others involved in well projects.
Wesley R. Gray Quantitative Momentum. A Practitioner's Guide to Building a Momentum-Based Stock Selection System Wesley R. Gray Quantitative Momentum. A Practitioner's Guide to Building a Momentum-Based Stock Selection System Новинка

Wesley R. Gray Quantitative Momentum. A Practitioner's Guide to Building a Momentum-Based Stock Selection System

2254.25 руб.
The individual investor's comprehensive guide to momentum investing Quantitative Momentum brings momentum investing out of Wall Street and into the hands of individual investors. In his last book, Quantitative Value, author Wes Gray brought systematic value strategy from the hedge funds to the masses; in this book, he does the same for momentum investing, the system that has been shown to beat the market and regularly enriches the coffers of Wall Street's most sophisticated investors. First, you'll learn what momentum investing is not: it's not 'growth' investing, nor is it an esoteric academic concept. You may have seen it used for asset allocation, but this book details the ways in which momentum stands on its own as a stock selection strategy, and gives you the expert insight you need to make it work for you. You'll dig into its behavioral psychology roots, and discover the key tactics that are bringing both institutional and individual investors flocking into the momentum fold. Systematic investment strategies always seem to look good on paper, but many fall down in practice. Momentum investing is one of the few systematic strategies with legs, withstanding the test of time and the rigor of academic investigation. This book provides invaluable guidance on constructing your own momentum strategy from the ground up. Learn what momentum is and is not Discover how momentum can beat the market Take momentum beyond asset allocation into stock selection Access the tools that ease DIY implementation The large Wall Street hedge funds tend to portray themselves as the sophisticated elite, but momentum investing allows you to 'borrow' one of their top strategies to enrich your own portfolio. Quantitative Momentum is the individual investor's guide to boosting market success with a robust momentum strategy.
Euan Sinclair Volatility Trading Euan Sinclair Volatility Trading Новинка

Euan Sinclair Volatility Trading

4837.45 руб.
Popular guide to options pricing and position sizing for quant traders In this second edition of this bestselling book, Sinclair offers a quantitative model for measuring volatility in order to gain an edge in everyday option trading endeavors. With an accessible, straightforward approach, he guides traders through the basics of option pricing, volatility measurement, hedging, money management, and trade evaluation. This new edition includes new chapters on the dynamics of realized and implied volatilities, trading the variance premium and using options to trade special situations in equity markets. Filled with volatility models including brand new option trades for quant traders Options trader Euan Sinclair specializes in the design and implementation of quantitative trading strategies Volatility Trading, Second Edition + Website outlines strategies for defining a true edge in the market using options to trade volatility profitably.
Michael Miller B. Quantitative Financial Risk Management Michael Miller B. Quantitative Financial Risk Management Новинка

Michael Miller B. Quantitative Financial Risk Management

5482.44 руб.
A mathematical guide to measuring and managing financial risk. Our modern economy depends on financial markets. Yet financial markets continue to grow in size and complexity. As a result, the management of financial risk has never been more important. Quantitative Financial Risk Management introduces students and risk professionals to financial risk management with an emphasis on financial models and mathematical techniques. Each chapter provides numerous sample problems and end of chapter questions. The book provides clear examples of how these models are used in practice and encourages readers to think about the limits and appropriate use of financial models. Topics include: • Value at risk • Stress testing • Credit risk • Liquidity risk • Factor analysis • Expected shortfall • Copulas • Extreme value theory • Risk model backtesting • Bayesian analysis • . . . and much more
Steven Greiner P. Ben Graham Was a Quant. Raising the IQ of the Intelligent Investor Steven Greiner P. Ben Graham Was a Quant. Raising the IQ of the Intelligent Investor Новинка

Steven Greiner P. Ben Graham Was a Quant. Raising the IQ of the Intelligent Investor

3221.74 руб.
Innovative insights on creating models that will help you become a disciplined intelligent investor The pioneer of value investing, Benjamin Graham, believed in a philosophy that continues to be followed by some of today's most successful investors, such as Warren Buffett. Part of this philosophy includes adhering to your stock selection process come «hell or high water» which, in his view, was one of the most important aspects of investing. So, if a quant designs and implements mathematical models for predicting stock or market movements, what better way to remain objective, then to invest using algorithms or the quantitative method? This is exactly what Ben Graham Was a Quant will show you how to do. Opening with a brief history of quantitative investing, this book quickly moves on to focus on the fundamental and financial factors used in selecting «Graham» stocks, demonstrate how to test these factors, and discuss how to combine them into a quantitative model. Reveals how to create custom screens based on Ben Graham's methods for security selection Addresses what it takes to find those factors most influential in forecasting stock returns Explores how to design models based on other styles and international strategies If you want to become a better investor, you need solid insights and the proper guidance. With Ben Graham Was a Quant, you'll receive this and much more, as you learn how to create quantitative models that follow in the footsteps of Graham's value philosophy.
Ari Kiev The Psychology of Risk. Mastering Market Uncertainty Ari Kiev The Psychology of Risk. Mastering Market Uncertainty Новинка

Ari Kiev The Psychology of Risk. Mastering Market Uncertainty

4514.95 руб.
One of the financial world's most respected experts on the psychology of risk provides a revolutionary risk management model Over the past three decades investors have adopted all varieties of complex quantitative systems for quantifying and managing risk. Yet, sophisticated investors and money managers continue to suffer record losses in today's increasingly volatile markets. This book bridges the gap between investor psychology and quantitative risk management with a revolutionary risk management program that virtually any trader or investor can easily adapt to their goals and personalities. Using numerous fascinating real-life case studies, Dr. Kiev illustrates the various psychological and emotional traps to which even the savviest investors can fall victim. He develops a dynamic new risk management model that combines quantitative models and money management techniques. He also provides rigorous guidelines that will help readers answer such crucial questions as: How much should I trade? How much risk can I handle? and When should I get out?
Jason Matthiopoulos How to be a Quantitative Ecologist. The 'A to R' of Green Mathematics and Statistics Jason Matthiopoulos How to be a Quantitative Ecologist. The 'A to R' of Green Mathematics and Statistics Новинка

Jason Matthiopoulos How to be a Quantitative Ecologist. The 'A to R' of Green Mathematics and Statistics

2163.31 руб.
Ecological research is becoming increasingly quantitative, yet students often opt out of courses in mathematics and statistics, unwittingly limiting their ability to carry out research in the future. This textbook provides a practical introduction to quantitative ecology for students and practitioners who have realised that they need this opportunity. The text is addressed to readers who haven't used mathematics since school, who were perhaps more confused than enlightened by their undergraduate lectures in statistics and who have never used a computer for much more than word processing and data entry. From this starting point, it slowly but surely instils an understanding of mathematics, statistics and programming, sufficient for initiating research in ecology. The book’s practical value is enhanced by extensive use of biological examples and the computer language R for graphics, programming and data analysis. Key Features: Provides a complete introduction to mathematics statistics and computing for ecologists. Presents a wealth of ecological examples demonstrating the applied relevance of abstract mathematical concepts, showing how a little technique can go a long way in answering interesting ecological questions. Covers elementary topics, including the rules of algebra, logarithms, geometry, calculus, descriptive statistics, probability, hypothesis testing and linear regression. Explores more advanced topics including fractals, non-linear dynamical systems, likelihood and Bayesian estimation, generalised linear, mixed and additive models, and multivariate statistics. R boxes provide step-by-step recipes for implementing the graphical and numerical techniques outlined in each section. How to be a Quantitative Ecologist provides a comprehensive introduction to mathematics, statistics and computing and is the ideal textbook for late undergraduate and postgraduate courses in environmental biology. «With a book like this, there is no excuse for people to be afraid of maths, and to be ignorant of what it can do.» —Professor Tim Benton, Faculty of Biological Sciences, University of Leeds, UK
Yatsimirsky Anatoly Artificial Receptors for Chemical Sensors Yatsimirsky Anatoly Artificial Receptors for Chemical Sensors Новинка

Yatsimirsky Anatoly Artificial Receptors for Chemical Sensors

16563.42 руб.
The first to provide systematically organized information on all three important aspects of artificial receptor design, this book brings together knowledge on an exceptionally hot and multidisciplinary field of research. Strong emphasis is placed on the methodology for discovering artificial receptors, with both definitions for chemosensitivity as well as experimental setups supplied. There follows coverage of numerous classes of artificial receptors, including synthesis, immobilization on surfaces, and quantitative data on properties. The third part of the book focuses on receptor arrays for artificial nose and tongue applications and the whole is rounded off with an outlook and an appendix with all relevant quantitative data on artificial receptors.
Massimo Morini Understanding and Managing Model Risk. A Practical Guide for Quants, Traders and Validators Massimo Morini Understanding and Managing Model Risk. A Practical Guide for Quants, Traders and Validators Новинка

Massimo Morini Understanding and Managing Model Risk. A Practical Guide for Quants, Traders and Validators

2163.31 руб.
A guide to the validation and risk management of quantitative models used for pricing and hedging Whereas the majority of quantitative finance books focus on mathematics and risk management books focus on regulatory aspects, this book addresses the elements missed by this literature–the risks of the models themselves. This book starts from regulatory issues, but translates them into practical suggestions to reduce the likelihood of model losses, basing model risk and validation on market experience and on a wide range of real-world examples, with a high level of detail and precise operative indications.
Harry Lawless T. Quantitative Sensory Analysis. Psychophysics, Models and Intelligent Design Harry Lawless T. Quantitative Sensory Analysis. Psychophysics, Models and Intelligent Design Новинка

Harry Lawless T. Quantitative Sensory Analysis. Psychophysics, Models and Intelligent Design

16482.15 руб.
Sensory evaluation is a scientific discipline used to evoke, measure, analyse and interpret responses to products perceived through the senses of sight, smell, touch, taste and hearing. It is used to reveal insights into the way in which sensory properties drive consumer acceptance and behaviour, and to design products that best deliver what the consumer wants. It is also used at a more fundamental level to provide a wider understanding of the mechanisms involved in sensory perception and consumer behaviour. Quantitative Sensory Analysis is an in-depth and unique treatment of the quantitative basis of sensory testing, enabling scientists in the food, cosmetics and personal care product industries to gain objective insights into consumer preference data – vital for informed new product development. Written by a globally-recognised learer in the field, this book is suitable for industrial sensory evaluation practitioners, sensory scientists, advanced undergraduate and graduate students in sensory evaluation and sensometricians.
Mark Filler G. A Quantitative Approach to Commercial Damages. Applying Statistics to the Measurement of Lost Profits Mark Filler G. A Quantitative Approach to Commercial Damages. Applying Statistics to the Measurement of Lost Profits Новинка

Mark Filler G. A Quantitative Approach to Commercial Damages. Applying Statistics to the Measurement of Lost Profits

8062.41 руб.
How-to guidance for measuring lost profits due to business interruption damages A Quantitative Approach to Commercial Damages explains the complicated process of measuring business interruption damages, whether they are losses are from natural or man-made disasters, or whether the performance of one company adversely affects the performance of another. Using a methodology built around case studies integrated with solution tools, this book is presented step by step from the analysis damages perspective to aid in preparing a damage claim. Over 250 screen shots are included and key cell formulas that show how to construct a formula and lay it out on the spreadsheet. Includes Excel spreadsheet applications and key cell formulas for those who wish to construct their own spreadsheets Offers a step-by-step approach to computing damages using case studies and over 250 screen shots Often in the course of business, a firm will be damaged by the actions of another individual or company, such as a fire that shuts down a restaurant for two months. Often, this results in the filing of a business interruption claim. Discover how to measure business losses with the proven guidance found in A Quantitative Approach to Commercial Damages.
Angela Barthes Quantitative and Statistical Data in Education. From Data Collection to Data Processing Angela Barthes Quantitative and Statistical Data in Education. From Data Collection to Data Processing Новинка

Angela Barthes Quantitative and Statistical Data in Education. From Data Collection to Data Processing

9352.4 руб.
This book presents different data collection and representation techniques: elementary descriptive statistics, confirmatory statistics, multivariate approaches and statistical modeling. It exposes the possibility of giving more robustness to the classical methodologies of education sciences by adding a quantitative approach. The fundamentals of each approach and the reasons behind them are methodically analyzed, and both simple and advanced examples are given to demonstrate how to use them. Subsequently, this book can be used both as a course for the uninitiated and as an accompaniment for researchers who are already familiar with these concepts.
E. Stavetski J. Managing Hedge Fund Managers. Quantitative and Qualitative Performance Measures E. Stavetski J. Managing Hedge Fund Managers. Quantitative and Qualitative Performance Measures Новинка

E. Stavetski J. Managing Hedge Fund Managers. Quantitative and Qualitative Performance Measures

5482.44 руб.
Invaluable insight into measuring the performance of today's hedge fund manager More and more institutional funds and high-net-worth assets are finding their way to hedge funds. This book provides the quantitative and qualitative measures and analysis that investment managers, investment advisors, and fund of fund managers need to allocate and monitor their client's assets properly. It addresses important topics such as Modern Portfolio Theory (MPT) and Post Modern Portfolio Theory (PMPT), choosing managers, watching performance, and researching alternate asset classes. Author Edward Stavetski also includes an appendix showing detailed case studies of hedge funds, and gives readers a road map to monitor their investments. Edward J. Stavetski (Wayne, PA) is Director of Investment Oversight for Wilmington Family Office, serving ultra high-net-worth families in strategic asset allocation, traditional and alternative investment manager selection, and oversight.
Edward Anderson J. Business Risk Management. Models and Analysis Edward Anderson J. Business Risk Management. Models and Analysis Новинка

Edward Anderson J. Business Risk Management. Models and Analysis

6226.16 руб.
A comprehensive and accessible introduction to modern quantitative risk management. The business world is rife with risk and uncertainty, and risk management is a vitally important topic for managers. The best way to achieve a clear understanding of risk is to use quantitative tools and probability models. Written for students, this book has a quantitative emphasis but is accessible to those without a strong mathematical background. Business Risk Management: Models and Analysis Discusses novel modern approaches to risk management Introduces advanced topics in an accessible manner Includes motivating worked examples and exercises (including selected solutions) Is written with the student in mind, and does not assume advanced mathematics Is suitable for self-study by the manager who wishes to better understand this important field. Aimed at postgraduate students, this book is also suitable for senior undergraduates, MBA students, and all those who have a general interest in business risk.
Paolo Brandimarte An Introduction to Financial Markets. A Quantitative Approach Paolo Brandimarte An Introduction to Financial Markets. A Quantitative Approach Новинка

Paolo Brandimarte An Introduction to Financial Markets. A Quantitative Approach

10376.93 руб.
COVERS THE FUNDAMENTAL TOPICS IN MATHEMATICS, STATISTICS, AND FINANCIAL MANAGEMENT THAT ARE REQUIRED FOR A THOROUGH STUDY OF FINANCIAL MARKETS This comprehensive yet accessible book introduces students to financial markets and delves into more advanced material at a steady pace while providing motivating examples, poignant remarks, counterexamples, ideological clashes, and intuitive traps throughout. Tempered by real-life cases and actual market structures, An Introduction to Financial Markets: A Quantitative Approach accentuates theory through quantitative modeling whenever and wherever necessary. It focuses on the lessons learned from timely subject matter such as the impact of the recent subprime mortgage storm, the collapse of LTCM, and the harsh criticism on risk management and innovative finance. The book also provides the necessary foundations in stochastic calculus and optimization, alongside financial modeling concepts that are illustrated with relevant and hands-on examples. An Introduction to Financial Markets: A Quantitative Approach starts with a complete overview of the subject matter. It then moves on to sections covering fixed income assets, equity portfolios, derivatives, and advanced optimization models. This book’s balanced and broad view of the state-of-the-art in financial decision-making helps provide readers with all the background and modeling tools needed to make “honest money” and, in the process, to become a sound professional. Stresses that gut feelings are not always sufficient and that “critical thinking” and real world applications are appropriate when dealing with complex social systems involving multiple players with conflicting incentives Features a related website that contains a solution manual for end-of-chapter problems Written in a modular style for tailored classroom use Bridges a gap for business and engineering students who are familiar with the problems involved, but are less familiar with the methodologies needed to make smart decisions An Introduction to Financial Markets: A Quantitative Approach offers a balance between the need to illustrate mathematics in action and the need to understand the real life context. It is an ideal text for a first course in financial markets or investments for business, economic, statistics, engi­neering, decision science, and management science students. PAOLO BRANDIMARTE is Full Professor at the Department of Mathematical Sciences of Politecnico di Torino in Italy, where he teaches Business Analytics and Financial Engineering. He is the author of several publications, including more than ten books on the application of optimization and simulation to diverse areas such as production and supply chain management, telecommunications, and finance.
Nicolas Larrieu Risk Propagation Assessment for Network Security. Application to Airport Communication Network Design Nicolas Larrieu Risk Propagation Assessment for Network Security. Application to Airport Communication Network Design Новинка

Nicolas Larrieu Risk Propagation Assessment for Network Security. Application to Airport Communication Network Design

6072.29 руб.
The focus of this book is risk assessment methodologies for network architecture design. The main goal is to present and illustrate an innovative risk propagation-based quantitative assessment tool. This original approach aims to help network designers and security administrators to design and build more robust and secure network topologies. As an implementation case study, the authors consider an aeronautical network based on AeroMACS (Aeronautical Mobile Airport Communications System) technology. AeroMACS has been identified as the wireless access network for airport surface communications that will soon be deployed in European and American airports mainly for communications between aircraft and airlines. It is based on the IEEE 802.16-2009 standard, also known as WiMAX. The book begins with an introduction to the information system security risk management process, before moving on to present the different risk management methodologies that can be currently used (quantitative and qualitative). In the third part of the book, the authors’ original quantitative network risk assessment model based on risk propagation is introduced. Finally, a network case study of the future airport AeroMACS system is presented. This example illustrates how the authors’ quantitative risk assessment proposal can provide help to network security designers for the decision-making process and how the security of the entire network may thus be improved. Contents Part 1. Network Security Risk Assessment 1. Introduction to Information System Security Risk Management Process. 2. System Security Risk Management Background. 3. A Quantitative Network Risk Management Methodology Based on Risk Propagation. Part 2. Application to Airport Communication Network Design 4. The AeroMACS Communication System in the SESAR Project. 5. Aeronautical Network Case Study. About the Authors Mohamed Slim Ben Mahmoud is a research engineer for the research group ResCo at the TELECOM laboratory of ENAC, the French national institution for civil aviation. Nicolas Larrieu is a teacher and researcher at the research group ResCo at the TELECOM laboratory of ENAC. Alain Pirovano is a teacher and researcher and head of the research group ResCo at the TELECOM laboratory of ENAC.
В. В. Глухов, М. Д. Медников, С. Б. Коробко Математические методы и модели для менеджмента В. В. Глухов, М. Д. Медников, С. Б. Коробко Математические методы и модели для менеджмента Новинка

В. В. Глухов, М. Д. Медников, С. Б. Коробко Математические методы и модели для менеджмента

266 руб.
Учебник состоит из трех частей: методы менеджмента, типовые модели менеджмента, прикладные модели менеджмента. Предусмотрена отработка навыков подготовки и принятия управленческих решений с реализацией типовых задач менеджмента на компьютере. Для этой цели используется пакет прикладных программ QSB Quantitative System for Business. Учебник предназначен для студентов, аспирантов, преподавателей экономических вузов и менеджеров.
C. Gonzalez Alternative Methodologies for Social Assessment of Environmental Projects C. Gonzalez Alternative Methodologies for Social Assessment of Environmental Projects Новинка

C. Gonzalez Alternative Methodologies for Social Assessment of Environmental Projects

79.9 руб.
The main objective of this contribution is to propose different methodologies in order to find and compare new solutions for evaluating social projects. We have chosen two approaches: hedonic price and contingent valuation. These procedures can be presented in a quantitative and/or qualitative form. We emphasize the social assessment in terms of benefits of the related environmental projects.
Kirsten Franklin Introduction to Biological Physics for the Health and Life Sciences Kirsten Franklin Introduction to Biological Physics for the Health and Life Sciences Новинка

Kirsten Franklin Introduction to Biological Physics for the Health and Life Sciences

14757.41 руб.
This book aims to demystify fundamental biophysics for students in the health and biosciences required to study physics and to understand the mechanistic behaviour of biosystems. The text is well supplemented by worked conceptual examples that will constitute the main source for the students, while combining conceptual examples and practice problems with more quantitative examples and recent technological advances.
В. В. Глухов, М. Д. Медников, С. Б. Коробко Математические методы и модели для менеджмента В. В. Глухов, М. Д. Медников, С. Б. Коробко Математические методы и модели для менеджмента Новинка

В. В. Глухов, М. Д. Медников, С. Б. Коробко Математические методы и модели для менеджмента

231 руб.
Учебник состоит из трех частей: методы менеджмента, типовые модели менеджмента, прикладные модели менеджмента. Предусмотрена отработка навыков подготовки и принятия управленческих решений с реализацией типовых задач менеджмента на компьютере. Для этой цели используется пакет прикладных программ QSB Quantitative System for Business. Учебник предназначен для студентов, аспирантов, преподавателей экономических вузов и менеджеров.
Jerry Fairley P. Models and Modeling. An Introduction for Earth and Environmental Scientists Jerry Fairley P. Models and Modeling. An Introduction for Earth and Environmental Scientists Новинка

Jerry Fairley P. Models and Modeling. An Introduction for Earth and Environmental Scientists

5775.49 руб.
An Introduction to Models and Modeling in the Earth and Environmental Sciences offers students and professionals the opportunity to learn about groundwater modeling, starting from the basics. Using clear, physically-intuitive examples, the author systematically takes us on a tour that begins with the simplest representations of fluid flow and builds through the most important equations of groundwater hydrology. Along the way, we learn how to develop a conceptual understanding of a system, how to choose boundary and initial conditions, and how to exploit model symmetry. Other important topics covered include non-dimensionalization, sensitivity, and finite differences. Written in an eclectic and readable style that will win over even math-phobic students, this text lays the foundation for a successful career in modeling and is accessible to anyone that has completed two semesters of Calculus. Although the popular image of a geologist or environmental scientist may be the rugged adventurer, heading off into the wilderness with a compass and a hand level, the disciplines of geology, hydrogeology, and environmental sciences have become increasingly quantitative. Today’s earth science professionals routinely work with mathematical and computer models, and career success often demands a broad range of analytical and computational skills. An Introduction to Models and Modeling in the Earth and Environmental Sciencesis written for students and professionals who want to learn the craft of modeling, and do more than just run “black box” computer simulations.
Peter Brabham Basic Geological Mapping Peter Brabham Basic Geological Mapping Новинка

Peter Brabham Basic Geological Mapping

3838.66 руб.
Part of The Geological Field Guide Series, Basic Geological Mapping, 5th Edition is an essential basic guide to field techniques in mapping geology. Now completely revised and updated the book retains the concise clarity which has made it an indispensable instant reference in its previous editions. It provides the reader with all the necessary practical information and techniques that they will need while carrying out work in the field, covering a wide spectrum of different conditions, needs and types of countries. This edition covers new developments in technology including Google Earth and the use of GPS. This is an ideal field guide to geological mapping for 2nd/3rd year undergraduates of Geology, Hydrogeology and Geological Engineering.
Debra Wetcher-Hendricks Analyzing Quantitative Data. An Introduction for Social Researchers Debra Wetcher-Hendricks Analyzing Quantitative Data. An Introduction for Social Researchers Новинка

Debra Wetcher-Hendricks Analyzing Quantitative Data. An Introduction for Social Researchers

10294.09 руб.
A user-friendly, hands-on guide to recognizing and conducting proper research techniques in data collection Offering a unique approach to numerical research methods, Analyzing Quantitative Data: An Introduction for Social Researchers presents readers with the necessary statistical applications for carrying out the key phases of conducting and evaluating a research project. The book guides readers through the steps of data analysis, from organizing raw data to utilizing descriptive statistics and tests of significance, drawing valid conclusions, and writing research reports. The author successfully provides a presentation that is accessible and hands-on rather than heavily theoretical, outlining the key quantitative processes and the use of software to successfully draw valid conclusions from gathered data. In its discussion of methods for organizing data, the book includes suggestions for coding and entry into spreadsheets or databases while also introducing commonly used descriptive statistics and clarifying their roles in data analysis. Next, inferential statistics is explored in-depth with explanations of and instructions for performing chi-square tests, t-tests, analyses of variance, correlation and regression analyses, and a number of advanced statistical procedures. Each chapter contains explanations of when to use the tests described, relevant formulas, and sample computations. The book concludes with guidance on extracting meaningful conclusions from statistical tests and writing research reports that describe procedures and analyses. Throughout the book, Statistical Resources for SPSS® sections provide fundamental instruction for using SPSS® to obtain the results presented. Where necessary, the author provides basic theoretical explanations for distributions and background information regarding formulas. Each chapter concludes with practice problems, and a related website features derivations of the book's formulas along with additional resources for performing the discussed processes. Analyzing Quantitative Data is an excellent book for social sciences courses on data analysis and research methods at the upper-undergraduate and graduate levels. It also serves as a valuable reference for applied statisticians and practitioners working in the fields of education, medicine, business and public service who analyze, interpret, and evaluate data in their daily work.
Jay Abrams B. Quantitative Business Valuation. A Mathematical Approach for Today's Professionals Jay Abrams B. Quantitative Business Valuation. A Mathematical Approach for Today's Professionals Новинка

Jay Abrams B. Quantitative Business Valuation. A Mathematical Approach for Today's Professionals

9674.9 руб.
Praise for the First Edition of Quantitative Business Valuation A Mathematical Approach for Today's Professionals «Jay Abrams' book is close to the equivalent of several graduate dissertations rolled into one book. For each topic (covered), he presents a scholarly summary of past research, new empirical research of his own, and his conclusions. It is a well-documented contribution to in-depth understanding of important business valuation issues, and should not be overlooked by the serious practitioner.» —Shannon Pratt, DBAManaging Director, Willamette Management AssociatesCoauthor, Valuing a Business «A must-read for the serious business appraiser.» —Jay E. Fishman, ASA, CBAPresident, Financial Research, Inc. «The problem of simplified valuation procedures and coherent theory still remains complex and is ever evolving. Jay Abrams deals very effectively with this complexity through the use of mathematical formulas. Input to his models is explained with clarity and effectiveness, which adds to the overall value of this advanced text on business valuation.» —Terry A. Isom, Chairman, National Association of Certified Valuation Analysts «Jay Abrams' book strives to provide mathematical modeling for what practitioners often do by reasoning alone. This book is a must-read for practitioners who are searching for additional techniques for dealing with some of business valuation's imponderables.» —David M. Bishop, FIBA, BVAL, ASA, MCBAPresident, American Business Appraisers, Inc. «Jay Abrams' book will not only challenge the top theoreticians in the field; his step-by-step explanations will make advanced quantitative techniques available to the many appraisers who are not capable of independently creating the underlying mathematical analysis.» —Kent Osborne, ASAChairman, Editorial Review Board of the American Society of Appraisers «While a proliferation of business valuation treatises and guides exists in the market, most are very general in nature and do nothing more than rehash fundamental concepts. I am unaware of any author who has stepped into the unknown as Jay Abrams has and compiled and developed a treatise of extremely useful analytical tools for the serious valuator.» —Robert J. Grossman, CPA/ABV, ASA, CVAPartner, Grossman Yanak & Ford «Jay Abrams develops unusual approaches which merit consideration when 'cookie cutter' methodologies are inadequate. This manuscript contributes to the dialogue among practitioners and strengthens the theoretical foundations of business valuation.» —Herbert T. SpiroPresident, American Valuation Group, Inc. «There is no question about it, the use of rigorous quantitative methods is the cure for subjective valuation analysis. This book not only satisfies this need—which has grown considerably in recent years—but is chock-full of new tools that have been carefully developed.» —Edward MurrayValuation Partner, Arthur Andersen, LLP
Bruce Tuckman Fixed Income Securities. Tools for Today's Markets Bruce Tuckman Fixed Income Securities. Tools for Today's Markets Новинка

Bruce Tuckman Fixed Income Securities. Tools for Today's Markets

6127.43 руб.
Fixed income practitioners need to understand the conceptual frameworks of their field; to master its quantitative tool-kit; and to be well-versed in its cash-flow and pricing conventions. Fixed Income Securities, Third Edition by Bruce Tuckman and Angel Serrat is designed to balance these three objectives. The book presents theory without unnecessary abstraction; quantitative techniques with a minimum of mathematics; and conventions at a useful level of detail. The book begins with an overview of global fixed income markets and continues with the fundamentals, namely, arbitrage pricing, interest rates, risk metrics, and term structure models to price contingent claims. Subsequent chapters cover individual markets and securities: repo, rate and bond forwards and futures, interest rate and basis swaps, credit markets, fixed income options, and mortgage-backed-securities. Fixed Income Securities, Third Edition is full of examples, applications, and case studies. Practically every quantitative concept is illustrated through real market data. This practice-oriented approach makes the book particularly useful for the working professional. This third edition is a considerable revision and expansion of the second. Most examples have been updated. The chapters on fixed income options and mortgage-backed securities have been considerably expanded to include a broader range of securities and valuation methodologies. Also, three new chapters have been added: the global overview of fixed income markets; a chapter on corporate bonds and credit default swaps; and a chapter on discounting with bases, which is the foundation for the relatively recent practice of discounting swap cash flows with curves based on money market rates. [FOR THE UNIVERSITY EDITION] This university edition includes problems which students can use to test and enhance their understanding of the text.
Barry Schachter How I Became a Quant. Insights from 25 of Wall Street's Elite Barry Schachter How I Became a Quant. Insights from 25 of Wall Street's Elite Новинка

Barry Schachter How I Became a Quant. Insights from 25 of Wall Street's Elite

1311.92 руб.
Praise for How I Became a Quant «Led by two top-notch quants, Richard R. Lindsey and Barry Schachter, How I Became a Quant details the quirky world of quantitative analysis through stories told by some of today's most successful quants. For anyone who might have thought otherwise, there are engaging personalities behind all that number crunching!» –Ira Kawaller, Kawaller & Co. and the Kawaller Fund «A fun and fascinating read. This book tells the story of how academics, physicists, mathematicians, and other scientists became professional investors managing billions.» –David A. Krell, President and CEO, International Securities Exchange «How I Became a Quant should be must reading for all students with a quantitative aptitude. It provides fascinating examples of the dynamic career opportunities potentially open to anyone with the skills and passion for quantitative analysis.» –Roy D. Henriksson, Chief Investment Officer, Advanced Portfolio Management «Quants»–those who design and implement mathematical models for the pricing of derivatives, assessment of risk, or prediction of market movements–are the backbone of today's investment industry. As the greater volatility of current financial markets has driven investors to seek shelter from increasing uncertainty, the quant revolution has given people the opportunity to avoid unwanted financial risk by literally trading it away, or more specifically, paying someone else to take on the unwanted risk. How I Became a Quant reveals the faces behind the quant revolution, offering you?the?chance to learn firsthand what it's like to be a?quant today. In this fascinating collection of Wall Street war stories, more than two dozen quants detail their roots, roles, and contributions, explaining what they do and how they do it, as well as outlining the sometimes unexpected paths they have followed from the halls of academia to the front lines of an investment revolution.
Jussi Klemelä Sakari Multivariate Nonparametric Regression and Visualization. With R and Applications to Finance Jussi Klemelä Sakari Multivariate Nonparametric Regression and Visualization. With R and Applications to Finance Новинка

Jussi Klemelä Sakari Multivariate Nonparametric Regression and Visualization. With R and Applications to Finance

8838.98 руб.
A modern approach to statistical learning and its applications through visualization methods With a unique and innovative presentation, Multivariate Nonparametric Regression and Visualization provides readers with the core statistical concepts to obtain complete and accurate predictions when given a set of data. Focusing on nonparametric methods to adapt to the multiple types of data generating mechanisms, the book begins with an overview of classification and regression. The book then introduces and examines various tested and proven visualization techniques for learning samples and functions. Multivariate Nonparametric Regression and Visualization identifies risk management, portfolio selection, and option pricing as the main areas in which statistical methods may be implemented in quantitative finance. The book provides coverage of key statistical areas including linear methods, kernel methods, additive models and trees, boosting, support vector machines, and nearest neighbor methods. Exploring the additional applications of nonparametric and semiparametric methods, Multivariate Nonparametric Regression and Visualization features: An extensive appendix with R-package training material to encourage duplication and modification of the presented computations and research Multiple examples to demonstrate the applications in the field of finance Sections with formal definitions of the various applied methods for readers to utilize throughout the book Multivariate Nonparametric Regression and Visualization is an ideal textbook for upper-undergraduate and graduate-level courses on nonparametric function estimation, advanced topics in statistics, and quantitative finance. The book is also an excellent reference for practitioners who apply statistical methods in quantitative finance.
Stanislav Kolenikov Statistics in the Social Sciences. Current Methodological Developments Stanislav Kolenikov Statistics in the Social Sciences. Current Methodological Developments Новинка

Stanislav Kolenikov Statistics in the Social Sciences. Current Methodological Developments

7913.59 руб.
A one-of-a-kind compilation of modern statistical methods designed to support and advance research across the social sciences Statistics in the Social Sciences: Current Methodological Developments presents new and exciting statistical methodologies to help advance research and data analysis across the many disciplines in the social sciences. Quantitative methods in various subfields, from psychology to economics, are under demand for constant development and refinement. This volume features invited overview papers, as well as original research presented at the Sixth Annual Winemiller Conference: Methodological Developments of Statistics in the Social Sciences, an international meeting that focused on fostering collaboration among mathematical statisticians and social science researchers. The book provides an accessible and insightful look at modern approaches to identifying and describing current, effective methodologies that ultimately add value to various fields of social science research. With contributions from leading international experts on the topic, the book features in-depth coverage of modern quantitative social sciences topics, including: Correlation Structures Structural Equation Models and Recent Extensions Order-Constrained Proximity Matrix Representations Multi-objective and Multi-dimensional Scaling Differences in Bayesian and Non-Bayesian Inference Bootstrap Test of Shape Invariance across Distributions Statistical Software for the Social Sciences Statistics in the Social Sciences: Current Methodological Developments is an excellent supplement for graduate courses on social science statistics in both statistics departments and quantitative social sciences programs. It is also a valuable reference for researchers and practitioners in the fields of psychology, sociology, economics, and market research.
Michael PhD Mastro Financial Derivative and Energy Market Valuation. Theory and Implementation in MATLAB Michael PhD Mastro Financial Derivative and Energy Market Valuation. Theory and Implementation in MATLAB Новинка

Michael PhD Mastro Financial Derivative and Energy Market Valuation. Theory and Implementation in MATLAB

11145.48 руб.
A road map for implementing quantitative financial models Financial Derivative and Energy Market Valuation brings the application of financial models to a higher level by helping readers capture the true behavior of energy markets and related financial derivatives. The book provides readers with a range of statistical and quantitative techniques and demonstrates how to implement the presented concepts and methods in Matlab®. Featuring an unparalleled level of detail, this unique work provides the underlying theory and various advanced topics without requiring a prior high-level understanding of mathematics or finance. In addition to a self-contained treatment of applied topics such as modern Fourier-based analysis and affine transforms, Financial Derivative and Energy Market Valuation also: • Provides the derivation, numerical implementation, and documentation of the corresponding Matlab for each topic • Extends seminal works developed over the last four decades to derive and utilize present-day financial models • Shows how to use applied methods such as fast Fourier transforms to generate statistical distributions for option pricing • Includes all Matlab code for readers wishing to replicate the figures found throughout the book Thorough, practical, and easy to use, Financial Derivative and Energy Market Valuation is a first-rate guide for readers who want to learn how to use advanced numerical methods to implement and apply state-of-the-art financial models. The book is also ideal for graduate-level courses in quantitative finance, mathematical finance, and financial engineering.
Robert Merton C. Finance, Economics, and Mathematics Robert Merton C. Finance, Economics, and Mathematics Новинка

Robert Merton C. Finance, Economics, and Mathematics

6127.43 руб.
The compiled works of the man behind the evolution of quantitative finance Finance, Economics, and Mathematics is the complete Vasicek reference work, including published and unpublished work and interviews with the man himself. The name Oldrich A. Vasicek is synonymous with cutting-edge research in the finance fields, and this book comes straight from the source to bring you the undiluted mother lode of quant wisdom from one of the founders of the field. From his early work in yield curve dynamics, to the mean-reverting short-rate model, to his thoughts on derivatives pricing, to his work on credit risk, to his most recent research on the economics of interest rates, this book represents the life's work of an industry leader. Going beyond the papers, you'll also find the more personal side inspirational as Vasicek talks about the academics and professionals who made lasting impressions and collaborated, debated, and ultimately helped spawn some of his greatest thinking. Oldrich Vasicek has won virtually every important award and prize for his groundbreaking research in quantitative finance. You've followed his work for years; this book puts it all in a single volume to give you the definitive reference you'll turn to again and again. Explore Vasicek's insights on topics he helped create Discover his research and ideas that have gone unpublished—until now Understand yield curves and the Vasicek model from the source himself Gain a reference collection of some of the most influential work in quantitative finance Vasicek's research is the foundation of one of the most important innovations in finance. Quants around the world have been influenced by his ideas, and his status as thought leader is cemented in the annals of finance history. Finance, Economics, and Mathematics is the definitive Vasicek reference every finance professional needs.
Pablo Triana Lecturing Birds on Flying. Can Mathematical Theories Destroy the Financial Markets? Pablo Triana Lecturing Birds on Flying. Can Mathematical Theories Destroy the Financial Markets? Новинка

Pablo Triana Lecturing Birds on Flying. Can Mathematical Theories Destroy the Financial Markets?

2318.1 руб.
Praise for Lecturing Birds On Flying «Finally, a book taking a critical look at quantitative finance models, illuminating both their flawed fantasy assumptions as well as the uncritical use of such models on Wall Street, in many cases, leading to billion dollar losses. Pablo Triana knows both the financial industry and the academic community from the inside. A must-read for anyone interested in finance.» —Dr. Espen Gaarder Haug, trader, thinker, and author of Derivatives Models on Models «A thoroughly readable explanation of the problems that have beset the models and quantitative techniques that have underpinned so much of finance in recent years. If only the bankers had heeded this message a few years before, we might not be in such a big mess today.» —Gillian Tett, Assistant Editor of the Financial Times, overseeing global financial markets coverage, and author of Fool's Gold «Pablo Triana dismembers quantitative finance, in theory and in practice, with expertise, anger,and an excellent eye for the illuminating anecdote. By the time he has finished marshalling his evidence, his call to replace complex equations with something more like common sense sounds like, well, common sense.» —Edward Hadas, Assistant Editor at Breakingviews.com; and author of Human Goods, Economic Evils: A Moral Approach to the Dismal Science «Pablo Triana is an entertaining and engaging writer, even on the dry subject of finance theory. His debunking of conventional wisdom is a treat.» —Pauline Skypala, Editor, FTfm, Financial Times «Triana's book is an unrelenting fusillade of detailed and irrefutable arguments against financial theorems and those who teach them. It should, by rights, spark a revolution in both investment banks and business schools. But, at the very least, it is required reading for anyone who would regulate the finance industry.» —Felix Salmon, Finance Blogger, Reuters

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Guides readers through the quantitative data analysis process including contextualizing data within a research situation, connecting data to the appropriate statistical tests, and drawing valid conclusions Introduction to Quantitative Data Analysis in the Behavioral and Social Sciences presents a clear and accessible introduction to the basics of quantitative data analysis and focuses on how to use statistical tests as a key tool for analyzing research data. The book presents the entire data analysis process as a cyclical, multiphase process and addresses the processes of exploratory analysis, decision-making for performing parametric or nonparametric analysis, and practical significance determination. In addition, the author details how data analysis is used to reveal the underlying patterns and relationships between the variables and connects those trends to the data’s contextual situation. Filling the gap in quantitative data analysis literature, this book teaches the methods and thought processes behind data analysis, rather than how to perform the study itself or how to perform individual statistical tests. With a clear and conversational style, readers are provided with a better understanding of the overall structure and methodology behind performing a data analysis as well as the needed techniques to make informed, meaningful decisions during data analysis. The book features numerous data analysis examples in order to emphasize the decision and thought processes that are best followed, and self-contained sections throughout separate the statistical data analysis from the detailed discussion of the concepts allowing readers to reference a specific section of the book for immediate solutions to problems and/or applications. Introduction to Quantitative Data Analysis in the Behavioral and Social Sciences also features coverage of the following: • The overall methodology and research mind-set for how to approach quantitative data analysis and how to use statistics tests as part of research data analysis • A comprehensive understanding of the data, its connection to a research situation, and the most appropriate statistical tests for the data • Numerous data analysis problems and worked-out examples to illustrate the decision and thought processes that reveal underlying patterns and trends • Detailed examples of the main concepts to aid readers in gaining the needed skills to perform a full analysis of research problems • A conversational tone to effectively introduce readers to the basics of how to perform data analysis as well as make meaningful decisions during data analysis Introduction to Quantitative Data Analysis in the Behavioral and Social Sciences is an ideal textbook for upper-undergraduate and graduate-level research method courses in the behavioral and social sciences, statistics, and engineering. This book is also an appropriate reference for practitioners who require a review of quantitative research methods. Michael J. Albers, Ph.D., is Professor in the Department of English at East Carolina University. His research interests include information design with a focus on answering real-world questions, the presentation of complex information, and human–information interaction. Dr. Albers received his Ph.D. in Technical Communication and Rhetoric from Texas Tech University.
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