multivariate proportional hazards model



William Wei W.S. Multivariate Time Series Analysis and Applications William Wei W.S. Multivariate Time Series Analysis and Applications Новинка

William Wei W.S. Multivariate Time Series Analysis and Applications

9313.83 руб. или Купить в рассрочку!
An essential guide on high dimensional multivariate time series including all the latest topics from one of the leading experts in the field Following the highly successful and much lauded book, Time Series Analysis—Univariate and Multivariate Methods, this new work by William W.S. Wei focuses on high dimensional multivariate time series, and is illustrated with numerous high dimensional empirical time series. Beginning with the fundamentalconcepts and issues of multivariate time series analysis,this book covers many topics that are not found in general multivariate time series books. Some of these are repeated measurements, space-time series modelling, and dimension reduction. The book also looks at vector time series models, multivariate time series regression models, and principle component analysis of multivariate time series. Additionally, it provides readers with information on factor analysis of multivariate time series, multivariate GARCH models, and multivariate spectral analysis of time series. With the development of computers and the internet, we have increased potential for data exploration. In the next few years, dimension will become a more serious problem. Multivariate Time Series Analysis and its Applications provides some initial solutions, which may encourage the development of related software needed for the high dimensional multivariate time series analysis. Written by bestselling author and leading expert in the field Covers topics not yet explored in current multivariate books Features classroom tested material Written specifically for time series courses Multivariate Time Series Analysis and its Applications is designed for an advanced time series analysis course. It is a must-have for anyone studying time series analysis and is also relevant for students in economics, biostatistics, and engineering.
Yasunori Fujikoshi Multivariate Statistics. High-Dimensional and Large-Sample Approximations Yasunori Fujikoshi Multivariate Statistics. High-Dimensional and Large-Sample Approximations Новинка

Yasunori Fujikoshi Multivariate Statistics. High-Dimensional and Large-Sample Approximations

11324.33 руб. или Купить в рассрочку!
A comprehensive examination of high-dimensional analysis of multivariate methods and their real-world applications Multivariate Statistics: High-Dimensional and Large-Sample Approximations is the first book of its kind to explore how classical multivariate methods can be revised and used in place of conventional statistical tools. Written by prominent researchers in the field, the book focuses on high-dimensional and large-scale approximations and details the many basic multivariate methods used to achieve high levels of accuracy. The authors begin with a fundamental presentation of the basic tools and exact distributional results of multivariate statistics, and, in addition, the derivations of most distributional results are provided. Statistical methods for high-dimensional data, such as curve data, spectra, images, and DNA microarrays, are discussed. Bootstrap approximations from a methodological point of view, theoretical accuracies in MANOVA tests, and model selection criteria are also presented. Subsequent chapters feature additional topical coverage including: High-dimensional approximations of various statistics High-dimensional statistical methods Approximations with computable error bound Selection of variables based on model selection approach Statistics with error bounds and their appearance in discriminant analysis, growth curve models, generalized linear models, profile analysis, and multiple comparison Each chapter provides real-world applications and thorough analyses of the real data. In addition, approximation formulas found throughout the book are a useful tool for both practical and theoretical statisticians, and basic results on exact distributions in multivariate analysis are included in a comprehensive, yet accessible, format. Multivariate Statistics is an excellent book for courses on probability theory in statistics at the graduate level. It is also an essential reference for both practical and theoretical statisticians who are interested in multivariate analysis and who would benefit from learning the applications of analytical probabilistic methods in statistics.
Suzanne Hendrix B. Multivariate Analysis for the Biobehavioral and Social Sciences. A Graphical Approach Suzanne Hendrix B. Multivariate Analysis for the Biobehavioral and Social Sciences. A Graphical Approach Новинка

Suzanne Hendrix B. Multivariate Analysis for the Biobehavioral and Social Sciences. A Graphical Approach

8817.02 руб. или Купить в рассрочку!
An insightful guide to understanding and visualizing multivariate statistics using SAS®, STATA®, and SPSS® Multivariate Analysis for the Biobehavioral and Social Sciences: A Graphical Approach outlines the essential multivariate methods for understanding data in the social and biobehavioral sciences. Using real-world data and the latest software applications, the book addresses the topic in a comprehensible and hands-on manner, making complex mathematical concepts accessible to readers. The authors promote the importance of clear, well-designed graphics in the scientific process, with visual representations accompanying the presented classical multivariate statistical methods . The book begins with a preparatory review of univariate statistical methods recast in matrix notation, followed by an accessible introduction to matrix algebra. Subsequent chapters explore fundamental multivariate methods and related key concepts, including: Factor analysis and related methods Multivariate graphics Canonical correlation Hotelling's T-squared Multivariate analysis of variance (MANOVA) Multiple regression and the general linear model (GLM) Each topic is introduced with a research-publication case study that demonstrates its real-world value. Next, the question «how do you do that?» is addressed with a complete, yet simplified, demonstration of the mathematics and concepts of the method. Finally, the authors show how the analysis of the data is performed using Stata®, SAS®, and SPSS®. The discussed approaches are also applicable to a wide variety of modern extensions of multivariate methods as well as modern univariate regression methods. Chapters conclude with conceptual questions about the meaning of each method; computational questions that test the reader's ability to carry out the procedures on simple datasets; and data analysis questions for the use of the discussed software packages. Multivariate Analysis for the Biobehavioral and Social Sciences is an excellent book for behavioral, health, and social science courses on multivariate statistics at the graduate level. The book also serves as a valuable reference for professionals and researchers in the social, behavioral, and health sciences who would like to learn more about multivariate analysis and its relevant applications.
Armin Bunde Extreme Events and Natural Hazards. The Complexity Perspective Armin Bunde Extreme Events and Natural Hazards. The Complexity Perspective Новинка

Armin Bunde Extreme Events and Natural Hazards. The Complexity Perspective

9729.23 руб. или Купить в рассрочку!
Published by the American Geophysical Union as part of the Geophysical Monograph Series, Volume 196. Extreme Events and Natural Hazards: The Complexity Perspective examines recent developments in complexity science that provide a new approach to understanding extreme events. This understanding is critical to the development of strategies for the prediction of natural hazards and mitigation of their adverse consequences. The volume is a comprehensive collection of current developments in the understanding of extreme events. The following critical areas are highlighted: understanding extreme events, natural hazard prediction and development of mitigation strategies, recent developments in complexity science, global change and how it relates to extreme events, and policy sciences and perspective. With its overarching theme, Extreme Events and Natural Hazards will be of interest and relevance to scientists interested in nonlinear geophysics, natural hazards, atmospheric science, hydrology, oceanography, tectonics, and space weather.
William Bolstad M. Understanding Computational Bayesian Statistics William Bolstad M. Understanding Computational Bayesian Statistics Новинка

William Bolstad M. Understanding Computational Bayesian Statistics

11409.45 руб. или Купить в рассрочку!
A hands-on introduction to computational statistics from a Bayesian point of view Providing a solid grounding in statistics while uniquely covering the topics from a Bayesian perspective, Understanding Computational Bayesian Statistics successfully guides readers through this new, cutting-edge approach. With its hands-on treatment of the topic, the book shows how samples can be drawn from the posterior distribution when the formula giving its shape is all that is known, and how Bayesian inferences can be based on these samples from the posterior. These ideas are illustrated on common statistical models, including the multiple linear regression model, the hierarchical mean model, the logistic regression model, and the proportional hazards model. The book begins with an outline of the similarities and differences between Bayesian and the likelihood approaches to statistics. Subsequent chapters present key techniques for using computer software to draw Monte Carlo samples from the incompletely known posterior distribution and performing the Bayesian inference calculated from these samples. Topics of coverage include: Direct ways to draw a random sample from the posterior by reshaping a random sample drawn from an easily sampled starting distribution The distributions from the one-dimensional exponential family Markov chains and their long-run behavior The Metropolis-Hastings algorithm Gibbs sampling algorithm and methods for speeding up convergence Markov chain Monte Carlo sampling Using numerous graphs and diagrams, the author emphasizes a step-by-step approach to computational Bayesian statistics. At each step, important aspects of application are detailed, such as how to choose a prior for logistic regression model, the Poisson regression model, and the proportional hazards model. A related Web site houses R functions and Minitab macros for Bayesian analysis and Monte Carlo simulations, and detailed appendices in the book guide readers through the use of these software packages. Understanding Computational Bayesian Statistics is an excellent book for courses on computational statistics at the upper-level undergraduate and graduate levels. It is also a valuable reference for researchers and practitioners who use computer programs to conduct statistical analyses of data and solve problems in their everyday work.
Christensen William F. Methods of Multivariate Analysis Christensen William F. Methods of Multivariate Analysis Новинка

Christensen William F. Methods of Multivariate Analysis

10788.52 руб. или Купить в рассрочку!
Praise for the Second Edition «This book is a systematic, well-written, well-organized text on multivariate analysis packed with intuition and insight . . . There is much practical wisdom in this book that is hard to find elsewhere.» —IIE Transactions Filled with new and timely content, Methods of Multivariate Analysis, Third Edition provides examples and exercises based on more than sixty real data sets from a wide variety of scientific fields. It takes a «methods» approach to the subject, placing an emphasis on how students and practitioners can employ multivariate analysis in real-life situations. This Third Edition continues to explore the key descriptive and inferential procedures that result from multivariate analysis. Following a brief overview of the topic, the book goes on to review the fundamentals of matrix algebra, sampling from multivariate populations, and the extension of common univariate statistical procedures (including t-tests, analysis of variance, and multiple regression) to analogous multivariate techniques that involve several dependent variables. The latter half of the book describes statistical tools that are uniquely multivariate in nature, including procedures for discriminating among groups, characterizing low-dimensional latent structure in high-dimensional data, identifying clusters in data, and graphically illustrating relationships in low-dimensional space. In addition, the authors explore a wealth of newly added topics, including: Confirmatory Factor Analysis Classification Trees Dynamic Graphics Transformations to Normality Prediction for Multivariate Multiple Regression Kronecker Products and Vec Notation New exercises have been added throughout the book, allowing readers to test their comprehension of the presented material. Detailed appendices provide partial solutions as well as supplemental tables, and an accompanying FTP site features the book's data sets and related SAS® code. Requiring only a basic background in statistics, Methods of Multivariate Analysis, Third Edition is an excellent book for courses on multivariate analysis and applied statistics at the upper-undergraduate and graduate levels. The book also serves as a valuable reference for both statisticians and researchers across a wide variety of disciplines.
Frank Fabozzi J. Financial Models with Levy Processes and Volatility Clustering Frank Fabozzi J. Financial Models with Levy Processes and Volatility Clustering Новинка

Frank Fabozzi J. Financial Models with Levy Processes and Volatility Clustering

7114.73 руб. или Купить в рассрочку!
An in-depth guide to understanding probability distributions and financial modeling for the purposes of investment management In Financial Models with Lévy Processes and Volatility Clustering, the expert author team provides a framework to model the behavior of stock returns in both a univariate and a multivariate setting, providing you with practical applications to option pricing and portfolio management. They also explain the reasons for working with non-normal distribution in financial modeling and the best methodologies for employing it. The book's framework includes the basics of probability distributions and explains the alpha-stable distribution and the tempered stable distribution. The authors also explore discrete time option pricing models, beginning with the classical normal model with volatility clustering to more recent models that consider both volatility clustering and heavy tails. Reviews the basics of probability distributions Analyzes a continuous time option pricing model (the so-called exponential Lévy model) Defines a discrete time model with volatility clustering and how to price options using Monte Carlo methods Studies two multivariate settings that are suitable to explain joint extreme events Financial Models with Lévy Processes and Volatility Clustering is a thorough guide to classical probability distribution methods and brand new methodologies for financial modeling.
Ruey S. Tsay Multivariate Time Series Analysis. With R and Financial Applications Ruey S. Tsay Multivariate Time Series Analysis. With R and Financial Applications Новинка

Ruey S. Tsay Multivariate Time Series Analysis. With R and Financial Applications

10640.71 руб. или Купить в рассрочку!
An accessible guide to the multivariate time series tools used in numerous real-world applications Multivariate Time Series Analysis: With R and Financial Applications is the much anticipated sequel coming from one of the most influential and prominent experts on the topic of time series. Through a fundamental balance of theory and methodology, the book supplies readers with a comprehensible approach to financial econometric models and their applications to real-world empirical research. Differing from the traditional approach to multivariate time series, the book focuses on reader comprehension by emphasizing structural specification, which results in simplified parsimonious VAR MA modeling. Multivariate Time Series Analysis: With R and Financial Applications utilizes the freely available R software package to explore complex data and illustrate related computation and analyses. Featuring the techniques and methodology of multivariate linear time series, stationary VAR models, VAR MA time series and models, unitroot process, factor models, and factor-augmented VAR models, the book includes: • Over 300 examples and exercises to reinforce the presented content • User-friendly R subroutines and research presented throughout to demonstrate modern applications • Numerous datasets and subroutines to provide readers with a deeper understanding of the material Multivariate Time Series Analysis is an ideal textbook for graduate-level courses on time series and quantitative finance and upper-undergraduate level statistics courses in time series. The book is also an indispensable reference for researchers and practitioners in business, finance, and econometrics.
Eva F. Gudgin Dickson Personal Protective Equipment for Chemical, Biological, and Radiological Hazards. Design, Evaluation, and Selection Eva F. Gudgin Dickson Personal Protective Equipment for Chemical, Biological, and Radiological Hazards. Design, Evaluation, and Selection Новинка

Eva F. Gudgin Dickson Personal Protective Equipment for Chemical, Biological, and Radiological Hazards. Design, Evaluation, and Selection

12537.24 руб. или Купить в рассрочку!
Personal protective equipment (PPE) is critical for those dealing with toxic, infectious, and radioactive materials. An easily accessible guide for professionals and researchers in all PPE fields, this book takes a fresh look at how PPE is designed, selected, and used in today's emergency response environment where users may need to be protected against deliberately used chemical, biological, or radiological agents in terrorism or warfare scenarios as well as more traditional hazards. Covering the physics, chemistry, and physiology of these hazards, the book explains how PPE protects from various forms of hazards as well as how to use this information to select PPE against these highly hazardous substances for first responder or military users. The design of PPE and components plus relevant performance and evaluation standards are also discussed.
John Cherrie Monitoring for Health Hazards at Work John Cherrie Monitoring for Health Hazards at Work Новинка

John Cherrie Monitoring for Health Hazards at Work

6988.29 руб. или Купить в рассрочку!
Monitoring for Health Hazards at Work has become an essential companion for students and professionals in occupational hygiene, offering a concise account of the dangers faced in a wide variety of work environments and giving practical, step-by-step guidance to gauge exposure. It includes: Coverage of most major health hazards: airborne dust, fibres, gases, vapours, noise, radiation, and biological agents Accounts of the latest equipment and techniques required to monitor such hazards Full guidance on how to undertake risk assessments Now thoroughly revised and restructured by an eminent new team of authors, the fourth edition brings this valuable handbook right up to date.
Roger Jensen C. Risk Reduction Methods for Occupational Safety and Health Roger Jensen C. Risk Reduction Methods for Occupational Safety and Health Новинка

Roger Jensen C. Risk Reduction Methods for Occupational Safety and Health

6360.57 руб. или Купить в рассрочку!
This book covers system safety methods related to occupational health and safety. It argues for anticipating hazards, risk reduction strategies for hazards processes, and making sure workers' tasks correspond to human capabilities. To this end, the text provides pro-active methods for identifying hazards, assessing risk, analyzing hazards, using tools from system safety, conducting post-incident investigations, considering human errors, applying risk reduction strategies, and managing process safety. While emphasizing methods suitable for all countries, it includes references to U.S. military and Department of Energy documents, as well as a discussion of fault-tree construction.
Gregg Stave M. Physical and Biological Hazards of the Workplace Gregg Stave M. Physical and Biological Hazards of the Workplace Новинка

Gregg Stave M. Physical and Biological Hazards of the Workplace

11397.16 руб. или Купить в рассрочку!
Completely updated version this classic reference covers both physical hazards and biological agents Provides updated information on protecting workers from proven and possible health risks from manual material handling, extremes of temperature and pressure, ionizing and non-ionizing (magnetic fields) radiation, shiftwork, and more Details major changes in our understanding of biological hazards including Ebola, Chikungunya, Zika, HIV, Hepatitis C, Lyme disease, MERS-CoV, TB, and much more All infectious diseases have been updated from an occupational health perspective Includes practical guidance on to how to set up medical surveillance for hazards and suggests preventive measures that can be used to reduce occupational diseases
Colin Whiteman A. Cold Region Hazards and Risks Colin Whiteman A. Cold Region Hazards and Risks Новинка

Colin Whiteman A. Cold Region Hazards and Risks

12026.49 руб. или Купить в рассрочку!
This is a unique, timely and engaging text with wide ranging geographical coverage. The text brings together, for the first time, information about a vast array of hazards associated with ice and snow, spanning both well known phenomenon (e.g. avalanches) and the less familiar (e.g. river ice jams and ice storms) using, in many cases, material which is rarely seen outside advanced academic research books and journals. The range of ice-related hazards will be introduced and the significance of the current global warming context discussed. Broad physical models of glacial, periglacial and atmospheric cold environments are presented to provide a scientific context for discussion of the human issues of risk, vulnerability impact and mitigation. Key Features: Wide ranging geographical coverage (the Americas, Asia, Australasia, Antarctic & Europe) Localised hazards (avalanches, life storms, landslides) contrasted to those with wider reaching effects (arctic ice loss, ice sheet retreat and wide spread permafrost decay) Includes the latest developments in the field Each chapter includes hazards overview, summery, conclusions, potential projects exercise and key references Includes a supplementary website with figures from the text and further references Each chapter includes a hazards overview, summary, conclusions, potential projects exercise and key references
Wouter Schellart P. Plate Boundaries and Natural Hazards Wouter Schellart P. Plate Boundaries and Natural Hazards Новинка

Wouter Schellart P. Plate Boundaries and Natural Hazards

14437.36 руб. или Купить в рассрочку!
The beginning of the new millennium has been particularly devastating in terms of natural disasters associated with tectonic plate boundaries, such as earthquakes in Sumatra, Chile, Japan, Tahiti, and Nepal; the Indian Ocean and the Pacific Ocean tsunamis; and volcanoes in Indonesia, Chile, Iceland that have produced large quantities of ash causing major disruption to aviation. In total, half a million people were killed by such natural disasters. These recurring events have increased our awareness of the destructive power of natural hazards and the major risks associated with them. While we have come a long way in the search for understanding such natural phenomena, and although our knowledge of Earth dynamics and plate tectonics has improved enormously, there are still fundamental uncertainties in our understanding of natural hazards. Increased understanding is crucial to improve our capacity for hazard prediction and mitigation. Volume highlights include: Main concepts associated with tectonic plate boundaries Novel studies on boundary-related natural hazards Fundamental concepts that improve hazard prediction and mitigation Plate Boundaries and Natural Hazards will be a valuable resource for scientists and students in the fields of geophysics, geochemistry, plate tectonics, natural hazards, and climate science.
John Lachin M. Biostatistical Methods. The Assessment of Relative Risks John Lachin M. Biostatistical Methods. The Assessment of Relative Risks Новинка

John Lachin M. Biostatistical Methods. The Assessment of Relative Risks

12496.06 руб. или Купить в рассрочку!
Praise for the First Edition «. . . an excellent textbook . . . an indispensable reference for biostatisticians and epidemiologists.» —International Statistical Institute A new edition of the definitive guide to classical and modern methods of biostatistics Biostatistics consists of various quantitative techniques that are essential to the description and evaluation of relationships among biologic and medical phenomena. Biostatistical Methods: The Assessment of Relative Risks, Second Edition develops basic concepts and derives an expanded array of biostatistical methods through the application of both classical statistical tools and more modern likelihood-based theories. With its fluid and balanced presentation, the book guides readers through the important statistical methods for the assessment of absolute and relative risks in epidemiologic studies and clinical trials with categorical, count, and event-time data. Presenting a broad scope of coverage and the latest research on the topic, the author begins with categorical data analysis methods for cross-sectional, prospective, and retrospective studies of binary, polychotomous, and ordinal data. Subsequent chapters present modern model-based approaches that include unconditional and conditional logistic regression; Poisson and negative binomial models for count data; and the analysis of event-time data including the Cox proportional hazards model and its generalizations. The book now includes an introduction to mixed models with fixed and random effects as well as expanded methods for evaluation of sample size and power. Additional new topics featured in this Second Edition include: Establishing equivalence and non-inferiority Methods for the analysis of polychotomous and ordinal data, including matched data and the Kappa agreement index Multinomial logistic for polychotomous data and proportional odds models for ordinal data Negative binomial models for count data as an alternative to the Poisson model GEE models for the analysis of longitudinal repeated measures and multivariate observations Throughout the book, SAS is utilized to illustrate applications to numerous real-world examples and case studies. A related website features all the data used in examples and problem sets along with the author's SAS routines. Biostatistical Methods, Second Edition is an excellent book for biostatistics courses at the graduate level. It is also an invaluable reference for biostatisticians, applied statisticians, and epidemiologists.
Xie Lei Advances in Statistical Monitoring of Complex Multivariate Processes. With Applications in Industrial Process Control Xie Lei Advances in Statistical Monitoring of Complex Multivariate Processes. With Applications in Industrial Process Control Новинка

Xie Lei Advances in Statistical Monitoring of Complex Multivariate Processes. With Applications in Industrial Process Control

7683.91 руб. или Купить в рассрочку!
The development and application of multivariate statistical techniques in process monitoring has gained substantial interest over the past two decades in academia and industry alike. Initially developed for monitoring and fault diagnosis in complex systems, such techniques have been refined and applied in various engineering areas, for example mechanical and manufacturing, chemical, electrical and electronic, and power engineering. The recipe for the tremendous interest in multivariate statistical techniques lies in its simplicity and adaptability for developing monitoring applications. In contrast, competitive model, signal or knowledge based techniques showed their potential only whenever cost-benefit economics have justified the required effort in developing applications. Statistical Monitoring of Complex Multivariate Processes presents recent advances in statistics based process monitoring, explaining how these processes can now be used in areas such as mechanical and manufacturing engineering for example, in addition to the traditional chemical industry. This book: Contains a detailed theoretical background of the component technology. Brings together a large body of work to address the field’s drawbacks, and develops methods for their improvement. Details cross-disciplinary utilization, exemplified by examples in chemical, mechanical and manufacturing engineering. Presents real life industrial applications, outlining deficiencies in the methodology and how to address them. Includes numerous examples, tutorial questions and homework assignments in the form of individual and team-based projects, to enhance the learning experience. Features a supplementary website including Matlab algorithms and data sets. This book provides a timely reference text to the rapidly evolving area of multivariate statistical analysis for academics, advanced level students, and practitioners alike.
McGuire Bill Climate Forcing of Geological Hazards McGuire Bill Climate Forcing of Geological Hazards Новинка

McGuire Bill Climate Forcing of Geological Hazards

13190.72 руб. или Купить в рассрочку!
Climate Forcing of Geological Hazards provides a valuable new insight into how climate change is able to influence, modulate and trigger geological and geomorphological phenomena, such as earthquakes, tsunamis, volcanic eruptions and landslides; ultimately increasing the risk of natural hazards in a warmer world. Taken together, the chapters build a panorama of a field of research that is only now becoming recognized as important in the context of the likely impacts and implications of anthropogenic climate change. The observations, analyses and interpretations presented in the volume reinforce the idea that a changing climate does not simply involve the atmosphere and hydrosphere, but also elicits potentially hazardous responses from the solid Earth, or geosphere. Climate Forcing of Geological Hazards is targeted particularly at academics, graduate students and professionals with an interest in environmental change and natural hazards. As such, we are hopeful that it will encourage further investigation of those mechanisms by which contemporary climate change may drive potentially hazardous geological and geomorphological activity, and of the future ramifications for society and economy.
David Scott W. Multivariate Density Estimation. Theory, Practice, and Visualization David Scott W. Multivariate Density Estimation. Theory, Practice, and Visualization Новинка

David Scott W. Multivariate Density Estimation. Theory, Practice, and Visualization

8740.59 руб. или Купить в рассрочку!
Clarifies modern data analysis through nonparametric density estimation for a complete working knowledge of the theory and methods Featuring a thoroughly revised presentation, Multivariate Density Estimation: Theory, Practice, and Visualization, Second Edition maintains an intuitive approach to the underlying methodology and supporting theory of density estimation. Including new material and updated research in each chapter, the Second Edition presents additional clarification of theoretical opportunities, new algorithms, and up-to-date coverage of the unique challenges presented in the field of data analysis. The new edition focuses on the various density estimation techniques and methods that can be used in the field of big data. Defining optimal nonparametric estimators, the Second Edition demonstrates the density estimation tools to use when dealing with various multivariate structures in univariate, bivariate, trivariate, and quadrivariate data analysis. Continuing to illustrate the major concepts in the context of the classical histogram, Multivariate Density Estimation: Theory, Practice, and Visualization, Second Edition also features: Over 150 updated figures to clarify theoretical results and to show analyses of real data sets An updated presentation of graphic visualization using computer software such as R A clear discussion of selections of important research during the past decade, including mixture estimation, robust parametric modeling algorithms, and clustering More than 130 problems to help readers reinforce the main concepts and ideas presented Boxed theorems and results allowing easy identification of crucial ideas Figures in color in the digital versions of the book A website with related data sets Multivariate Density Estimation: Theory, Practice, and Visualization, Second Edition is an ideal reference for theoretical and applied statisticians, practicing engineers, as well as readers interested in the theoretical aspects of nonparametric estimation and the application of these methods to multivariate data. The Second Edition is also useful as a textbook for introductory courses in kernel statistics, smoothing, advanced computational statistics, and general forms of statistical distributions.
CCPS (Center for Chemical Process Safety) A Practical Approach to Hazard Identification for Operations and Maintenance Workers CCPS (Center for Chemical Process Safety) A Practical Approach to Hazard Identification for Operations and Maintenance Workers Новинка

CCPS (Center for Chemical Process Safety) A Practical Approach to Hazard Identification for Operations and Maintenance Workers

11409.45 руб. или Купить в рассрочку!
The first part of this book (Chapters 1 and 2) provides an introduction and discusses basic concepts. Chapter 3 deals with the use of the basic human senses for identifying hazards. Chapter 4 deals with different classes and categories of hazards. Chapter 5 deals with techniques and methodologies for identifying and evaluating hazards. Chapter 6 deals with making risk based decisions. Chapter 7 deals with follow-up and call to action. Chapter 8 deals with learning and continuous improvement. The Appendices provide references, case studies, hazard presentations and additional pictures. Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file.
Mohammad Arashi Statistical Inference for Models with Multivariate t-Distributed Errors Mohammad Arashi Statistical Inference for Models with Multivariate t-Distributed Errors Новинка

Mohammad Arashi Statistical Inference for Models with Multivariate t-Distributed Errors

8664.87 руб. или Купить в рассрочку!
This book summarizes the results of various models under normal theory with a brief review of the literature. Statistical Inference for Models with Multivariate t-Distributed Errors: Includes a wide array of applications for the analysis of multivariate observations Emphasizes the development of linear statistical models with applications to engineering, the physical sciences, and mathematics Contains an up-to-date bibliography featuring the latest trends and advances in the field to provide a collective source for research on the topic Addresses linear regression models with non-normal errors with practical real-world examples Uniquely addresses regression models in Student's t-distributed errors and t-models Supplemented with an Instructor's Solutions Manual, which is available via written request by the Publisher
Chrysseis Caroni First Hitting Time Regression Models. Lifetime Data Analysis Based on Underlying Stochastic Processes Chrysseis Caroni First Hitting Time Regression Models. Lifetime Data Analysis Based on Underlying Stochastic Processes Новинка

Chrysseis Caroni First Hitting Time Regression Models. Lifetime Data Analysis Based on Underlying Stochastic Processes

8360.56 руб. или Купить в рассрочку!
This book aims to promote regression methods for analyzing lifetime (or time-to-event) data that are based on a representation of the underlying process, and are therefore likely to offer greater scientific insight compared to purely empirical methods. In contrast to the rich statistical literature, the regression methods actually employed in lifetime data analysis are limited, particularly in the biomedical field where D. R. Cox’s famous semi-parametric proportional hazards model predominates. Practitioners should become familiar with more flexible models. The first hitting time regression models (or threshold regression) presented here represent observed events as the outcome of an underlying stochastic process. One example is death occurring when the patient’s health status falls to zero, but the idea has wide applicability – in biology, engineering, banking and finance, and elsewhere. The central topic is the model based on an underlying Wiener process, leading to lifetimes following the inverse Gaussian distribution. Introducing time-varying covariates and many other extensions are considered. Various applications are presented in detail.
Mikhail Nikulin S. Chi-squared Goodness-of-fit Tests for Censored Data Mikhail Nikulin S. Chi-squared Goodness-of-fit Tests for Censored Data Новинка

Mikhail Nikulin S. Chi-squared Goodness-of-fit Tests for Censored Data

8740.59 руб. или Купить в рассрочку!
This book is devoted to the problems of construction and application of chi-squared goodness-of-fit tests for complete and censored data. Classical chi-squared tests assume that unknown distribution parameters are estimated using grouped data, but in practice this assumption is often forgotten. In this book, we consider modified chi-squared tests, which do not suffer from such a drawback. The authors provide examples of chi-squared tests for various distributions widely used in practice, and also consider chi-squared tests for the parametric proportional hazards model and accelerated failure time model, which are widely used in reliability and survival analysis. Particular attention is paid to the choice of grouping intervals and simulations. This book covers recent innovations in the field as well as important results previously only published in Russian. Chi-squared tests are compared with other goodness-of-fit tests (such as the Cramer-von Mises-Smirnov, Anderson-Darling and Zhang tests) in terms of power when testing close competing hypotheses.
CCPS (Center for Chemical Process Safety) A Practical Approach to Hazard Identification for Operations and Maintenance Workers CCPS (Center for Chemical Process Safety) A Practical Approach to Hazard Identification for Operations and Maintenance Workers Новинка

CCPS (Center for Chemical Process Safety) A Practical Approach to Hazard Identification for Operations and Maintenance Workers

11409.45 руб. или Купить в рассрочку!
The first part of this book (Chapters 1 and 2) provides an introduction and discusses basic concepts. Chapter 3 deals with the use of the basic human senses for identifying hazards. Chapter 4 deals with different classes and categories of hazards. Chapter 5 deals with techniques and methodologies for identifying and evaluating hazards. Chapter 6 deals with making risk based decisions. Chapter 7 deals with follow-up and call to action. Chapter 8 deals with learning and continuous improvement. The Appendices provide references, case studies, hazard presentations and additional pictures. Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file.
Giorgio Celant Interpolation and Extrapolation Optimal Designs 2. Finite Dimensional General Models Giorgio Celant Interpolation and Extrapolation Optimal Designs 2. Finite Dimensional General Models Новинка

Giorgio Celant Interpolation and Extrapolation Optimal Designs 2. Finite Dimensional General Models

10640.71 руб. или Купить в рассрочку!
This book considers various extensions of the topics treated in the first volume of this series, in relation to the class of models and the type of criterion for optimality. The regressors are supposed to belong to a generic finite dimensional Haar linear space, which substitutes for the classical polynomial case. The estimation pertains to a general linear form of the coefficients of the model, extending the interpolation and extrapolation framework; the errors in the model may be correlated, and the model may be heteroscedastic. Non-linear models, as well as multivariate ones, are briefly discussed. The book focuses to a large extent on criteria for optimality, and an entire chapter presents algorithms leading to optimal designs in multivariate models. Elfving’s theory and the theorem of equivalence are presented extensively. The volume presents an account of the theory of the approximation of real valued functions, which makes it self-consistent.
Phillip Williams L. Principles of Toxicology. Environmental and Industrial Applications Phillip Williams L. Principles of Toxicology. Environmental and Industrial Applications Новинка

Phillip Williams L. Principles of Toxicology. Environmental and Industrial Applications

9804.95 руб. или Купить в рассрочку!
A fully updated and expanded edition of the bestselling guide on toxicology and its practical application • Covers the diverse chemical hazards encountered in the modern work and natural environment, and provides a practical understanding of these hazards • New chapters cover the emerging areas of toxicology such as omics, computational toxicology, and nanotoxicology • Provides clear explanations and practical understanding of the fundamentals necessary for an understanding of the effects of chemical hazards on human health and ecosystems • Includes case histories and examples from industry demonstrate the application of toxicological principles • Supplemented with numerous illustrations to clarify and summarize key points, annotated bibliographies, and a comprehensive glossary of toxicological terms
Daniel Denis J. Applied Univariate, Bivariate, and Multivariate Statistics Daniel Denis J. Applied Univariate, Bivariate, and Multivariate Statistics Новинка

Daniel Denis J. Applied Univariate, Bivariate, and Multivariate Statistics

9881.38 руб. или Купить в рассрочку!
A clear and efficient balance between theory and application of statistical modeling techniques in the social and behavioral sciences Written as a general and accessible introduction, Applied Univariate, Bivariate, and Multivariate Statistics provides an overview of statistical modeling techniques used in fields in the social and behavioral sciences. Blending statistical theory and methodology, the book surveys both the technical and theoretical aspects of good data analysis. Featuring applied resources at various levels, the book includes statistical techniques such as t-tests and correlation as well as more advanced procedures such as MANOVA, factor analysis, and structural equation modeling. To promote a more in-depth interpretation of statistical techniques across the sciences, the book surveys some of the technical arguments underlying formulas and equations. Applied Univariate, Bivariate, and Multivariate Statistics also features Demonstrations of statistical techniques using software packages such as R and SPSS® Examples of hypothetical and real data with subsequent statistical analyses Historical and philosophical insights into many of the techniques used in modern social science A companion website that includes further instructional details, additional data sets, solutions to selected exercises, and multiple programming options An ideal textbook for courses in statistics and methodology at the upper- undergraduate and graduate-levels in psychology, political science, biology, sociology, education, economics, communications, law, and survey research, Applied Univariate, Bivariate, and Multivariate Statistics is also a useful reference for practitioners and researchers in their field of application. DANIEL J. DENIS, PhD, is Associate Professor of Quantitative Psychology at the University of Montana where he teaches courses in univariate and multivariate statistics. He has published a number of articles in peer-reviewed journals and has served as consultant to researchers and practitioners in a variety of fields.
Philippe Quevauviller Hydrometeorological Hazards. Interfacing Science and Policy Philippe Quevauviller Hydrometeorological Hazards. Interfacing Science and Policy Новинка

Philippe Quevauviller Hydrometeorological Hazards. Interfacing Science and Policy

Recent hydrometeorological extreme events have highlighted the increased exposure and vulnerability of societies and the need to strengthen the knowledge-base of related policies. Current research is focused on improving forecasting, prediction and early warning capabilities in order to improve the assessment of vulnerability and risks linked to extreme climatic events. Hydrometeorological Hazards: Interfacing science and policy is the first volume of a series which will gather scientific and policy-related knowledge related to climate-related extreme events. Invited authors are internationally recognized experts in their respective fields. This volume reflects the most recent advances in science and policy within this field and takes a multidisciplinary approach. The book provides the reader with a state-of-the art account on flash floods, droughts, storms, and a comprehensive discussion focused on the cost of natural hazards, resilience and adaptation. This book will be an invaluable reference for advanced undergraduates taking courses with a focus on natural hazards including climate-related extreme events. The book will also be of interest to postgraduates, researchers and policy makers in this field looking for an overview of the subject.
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

8740.59 руб. или Купить в рассрочку!
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.
Patrick Prouzet Ecosystem Sustainability and Global Change Patrick Prouzet Ecosystem Sustainability and Global Change Новинка

Patrick Prouzet Ecosystem Sustainability and Global Change

11400.76 руб. или Купить в рассрочку!
This volume provides various examples and dimensions, chemical, biological, climatic, or related to extreme (hazards). It describes, by reciprocity, the vulnerability of ecosystems, resources, heritage, human health and, consequently, economic and social sectors. it considers climate scenarios and socio-economic status indicators research, design strategies and patterns of adaptation, development of innovative monitoring systems, analysis of perceptions of major hazards and valuation of ecosystem services.
Schaufelberger John Construction Project Safety Schaufelberger John Construction Project Safety Новинка

Schaufelberger John Construction Project Safety

6985.38 руб. или Купить в рассрочку!
This introduction to construction safety for construction management personnel takes a project-based approach to present potential hazards in construction and their mitigation or prevention. After introducing Accident Prevention Programs and OSHA compliance requirements, the book integrates safety instruction into the building process by following a building project from site construction through interior finish. Reinforcing this applied approach are photographs, drawings, contract documentation, and an online 3D BIM model to help visualize the onsite scenarios.
Arcade Ndoricimpa Inflation, output growth and their uncertainties in South Africa: Empirical evidence from an asymmetric multivariate GARCH-M model Arcade Ndoricimpa Inflation, output growth and their uncertainties in South Africa: Empirical evidence from an asymmetric multivariate GARCH-M model Новинка

Arcade Ndoricimpa Inflation, output growth and their uncertainties in South Africa: Empirical evidence from an asymmetric multivariate GARCH-M model

The study examines the relationships between inflation uncertainty and output growth uncertainty, and analyzes their effects on the level of inflation and output growth in South Africa. An asymmetric multivariate GARCH-M model suggested by Grier et al. (2004) is applied. The findings suggest that while uncertainty about growth is detrimental to output growth inflation uncertainty is not. The findings further reveal that Cukierman and Meltzer (1986) hypothesis of a positive impact of inflation uncertainty on the level of inflation is supported and there exists a negative impact of output growth uncertainty on inflation. No association could be found between inflation uncertainty and output growth uncertainty. The findings imply that output growth and its uncertainty should not be treated separately as it is usually suggested by business cycle models. In addition, both output growth uncertainty and inflation uncertainty should be considered as part of the determinants of output growth in South Africa.
R. Cook Dennis An Introduction to Envelopes. Dimension Reduction for Efficient Estimation in Multivariate Statistics R. Cook Dennis An Introduction to Envelopes. Dimension Reduction for Efficient Estimation in Multivariate Statistics Новинка

R. Cook Dennis An Introduction to Envelopes. Dimension Reduction for Efficient Estimation in Multivariate Statistics

9701.91 руб. или Купить в рассрочку!
Written by the leading expert in the field, this text reviews the major new developments in envelope models and methods An Introduction to Envelopes provides an overview of the theory and methods of envelopes, a class of procedures for increasing efficiency in multivariate analyses without altering traditional objectives. The author offers a balance between foundations and methodology by integrating illustrative examples that show how envelopes can be used in practice. He discusses how to use envelopes to target selected coefficients and explores predictor envelopes and their connection with partial least squares regression. The book reveals the potential for envelope methodology to improve estimation of a multivariate mean. The text also includes information on how envelopes can be used in generalized linear models, regressions with a matrix-valued response, and reviews work on sparse and Bayesian response envelopes. In addition, the text explores relationships between envelopes and other dimension reduction methods, including canonical correlations, reduced-rank regression, supervised singular value decomposition, sufficient dimension reduction, principal components, and principal fitted components. This important resource: • Offers a text written by the leading expert in this field • Describes groundbreaking work that puts the focus on this burgeoning area of study • Covers the important new developments in the field and highlights the most important directions • Discusses the underlying mathematics and linear algebra • Includes an online companion site with both R and Matlab support Written for researchers and graduate students in multivariate analysis and dimension reduction, as well as practitioners interested in statistical methodology, An Introduction to Envelopes offers the first book on the theory and methods of envelopes.
Mohsen Pourahmadi High-Dimensional Covariance Estimation. With High-Dimensional Data Mohsen Pourahmadi High-Dimensional Covariance Estimation. With High-Dimensional Data Новинка

Mohsen Pourahmadi High-Dimensional Covariance Estimation. With High-Dimensional Data

7293.32 руб. или Купить в рассрочку!
Methods for estimating sparse and large covariance matrices Covariance and correlation matrices play fundamental roles in every aspect of the analysis of multivariate data collected from a variety of fields including business and economics, health care, engineering, and environmental and physical sciences. High-Dimensional Covariance Estimation provides accessible and comprehensive coverage of the classical and modern approaches for estimating covariance matrices as well as their applications to the rapidly developing areas lying at the intersection of statistics and machine learning. Recently, the classical sample covariance methodologies have been modified and improved upon to meet the needs of statisticians and researchers dealing with large correlated datasets. High-Dimensional Covariance Estimation focuses on the methodologies based on shrinkage, thresholding, and penalized likelihood with applications to Gaussian graphical models, prediction, and mean-variance portfolio management. The book relies heavily on regression-based ideas and interpretations to connect and unify many existing methods and algorithms for the task. High-Dimensional Covariance Estimation features chapters on: Data, Sparsity, and Regularization Regularizing the Eigenstructure Banding, Tapering, and Thresholding Covariance Matrices Sparse Gaussian Graphical Models Multivariate Regression The book is an ideal resource for researchers in statistics, mathematics, business and economics, computer sciences, and engineering, as well as a useful text or supplement for graduate-level courses in multivariate analysis, covariance estimation, statistical learning, and high-dimensional data analysis.
Elisa Lee T. Statistical Methods for Survival Data Analysis Elisa Lee T. Statistical Methods for Survival Data Analysis Новинка

Elisa Lee T. Statistical Methods for Survival Data Analysis

10184.97 руб. или Купить в рассрочку!
Praise for the Third Edition “. . . an easy-to read introduction to survival analysis which covers the major concepts and techniques of the subject.” —Statistics in Medical Research Updated and expanded to reflect the latest developments, Statistical Methods for Survival Data Analysis, Fourth Edition continues to deliver a comprehensive introduction to the most commonly-used methods for analyzing survival data. Authored by a uniquely well-qualified author team, the Fourth Edition is a critically acclaimed guide to statistical methods with applications in clinical trials, epidemiology, areas of business, and the social sciences. The book features many real-world examples to illustrate applications within these various fields, although special consideration is given to the study of survival data in biomedical sciences. Emphasizing the latest research and providing the most up-to-date information regarding software applications in the field, Statistical Methods for Survival Data Analysis, Fourth Edition also includes: Marginal and random effect models for analyzing correlated censored or uncensored data Multiple types of two-sample and K-sample comparison analysis Updated treatment of parametric methods for regression model fitting with a new focus on accelerated failure time models Expanded coverage of the Cox proportional hazards model Exercises at the end of each chapter to deepen knowledge of the presented material Statistical Methods for Survival Data Analysis is an ideal text for upper-undergraduate and graduate-level courses on survival data analysis. The book is also an excellent resource for biomedical investigators, statisticians, and epidemiologists, as well as researchers in every field in which the analysis of survival data plays a role.
Paolo Ciavola Coastal Storms. Processes and Impacts Paolo Ciavola Coastal Storms. Processes and Impacts Новинка

Paolo Ciavola Coastal Storms. Processes and Impacts

A comprehensive introduction to coastal storms and their associated impacts Coastal Storms offers students and professionals in the field a comprehensive overview and groundbreaking text that is specifically devoted to the analysis of coastal storms. Based on the most recent knowledge and contributions from leading researchers, the text examines coastal storms’ processes and characteristics, the main hazards (such as overwash, inundation and flooding, erosion, structures overtopping), and how to monitor and model storms. The authors include information on the most advanced innovations in forecasting, prediction, and early warning, which serves as a foundation for accurate risk evaluation and developing adequate coastal indicators and management options. In addition, structural overtopping and damage are explained, taking into account the involved hydrodynamic and morphodynamic processes. The monitoring methods of coastal storms are analyzed based on recent results from research projects in Europe and the United States. Methods for vulnerability and risk evaluation are detailed, storm impact indicators are suggested for different hazards and coastal management procedures analyzed. This important resource includes: Comprehensive coverage of storms and associated impacts, including meteorological coastal storm definitions and related potential consequences A state-of-the-art reference for advanced students, professionals and researchers in the field Chapters on monitoring methods of coastal storms, their prediction, early warning systems, and modeling of consequences Explorations of methods for vulnerability and risk evaluation and suggestions for storm impact indicators for different hazards and coastal management procedures Coastal Storms is a compilation of scientific and policy-related knowledge related to climate-related extreme events. The authors are internationally recognized experts and their work reflects the most recent science and policy advances in the field.
Bertram K. C. Chan Applied Probabilistic Calculus for Financial Engineering. An Introduction Using R Bertram K. C. Chan Applied Probabilistic Calculus for Financial Engineering. An Introduction Using R Новинка

Bertram K. C. Chan Applied Probabilistic Calculus for Financial Engineering. An Introduction Using R

10261.41 руб. или Купить в рассрочку!
Illustrates how R may be used successfully to solve problems in quantitative finance Applied Probabilistic Calculus for Financial Engineering: An Introduction Using R provides R recipes for asset allocation and portfolio optimization problems. It begins by introducing all the necessary probabilistic and statistical foundations, before moving on to topics related to asset allocation and portfolio optimization with R codes illustrated for various examples. This clear and concise book covers financial engineering, using R in data analysis, and univariate, bivariate, and multivariate data analysis. It examines probabilistic calculus for modeling financial engineering—walking the reader through building an effective financial model from the Geometric Brownian Motion (GBM) Model via probabilistic calculus, while also covering Ito Calculus. Classical mathematical models in financial engineering and modern portfolio theory are discussed—along with the Two Mutual Fund Theorem and The Sharpe Ratio. The book also looks at R as a calculator and using R in data analysis in financial engineering. Additionally, it covers asset allocation using R, financial risk modeling and portfolio optimization using R, global and local optimal values, locating functional maxima and minima, and portfolio optimization by performance analytics in CRAN. Covers optimization methodologies in probabilistic calculus for financial engineering Answers the question: What does a «Random Walk» Financial Theory look like? Covers the GBM Model and the Random Walk Model Examines modern theories of portfolio optimization, including The Markowitz Model of Modern Portfolio Theory (MPT), The Black-Litterman Model, and The Black-Scholes Option Pricing Model Applied Probabilistic Calculus for Financial Engineering: An Introduction Using R s an ideal reference for professionals and students in economics, econometrics, and finance, as well as for financial investment quants and financial engineers.
Daniel Larose T. Discovering Knowledge in Data. An Introduction to Data Mining Daniel Larose T. Discovering Knowledge in Data. An Introduction to Data Mining Новинка

Daniel Larose T. Discovering Knowledge in Data. An Introduction to Data Mining

7214.34 руб. или Купить в рассрочку!
The field of data mining lies at the confluence of predictive analytics, statistical analysis, and business intelligence. Due to the ever-increasing complexity and size of data sets and the wide range of applications in computer science, business, and health care, the process of discovering knowledge in data is more relevant than ever before. This book provides the tools needed to thrive in today’s big data world. The author demonstrates how to leverage a company’s existing databases to increase profits and market share, and carefully explains the most current data science methods and techniques. The reader will “learn data mining by doing data mining”. By adding chapters on data modelling preparation, imputation of missing data, and multivariate statistical analysis, Discovering Knowledge in Data, Second Edition remains the eminent reference on data mining. The second edition of a highly praised, successful reference on data mining, with thorough coverage of big data applications, predictive analytics, and statistical analysis. Includes new chapters on Multivariate Statistics, Preparing to Model the Data, and Imputation of Missing Data, and an Appendix on Data Summarization and Visualization Offers extensive coverage of the R statistical programming language Contains 280 end-of-chapter exercises Includes a companion website for university instructors who adopt the book
Seth Stein Playing against Nature. Integrating Science and Economics to Mitigate Natural Hazards in an Uncertain World Seth Stein Playing against Nature. Integrating Science and Economics to Mitigate Natural Hazards in an Uncertain World Новинка

Seth Stein Playing against Nature. Integrating Science and Economics to Mitigate Natural Hazards in an Uncertain World

5545.34 руб. или Купить в рассрочку!
Defending society against natural hazards is a high-stakes game of chance against nature, involving tough decisions. How should a developing nation allocate its budget between building schools for towns without ones or making existing schools earthquake-resistant? Does it make more sense to build levees to protect against floods, or to prevent development in the areas at risk? Would more lives be saved by making hospitals earthquake-resistant, or using the funds for patient care? What should scientists tell the public when – as occurred in L’Aquila, Italy and Mammoth Lakes, California – there is a real but small risk of an upcoming earthquake or volcanic eruption? Recent hurricanes, earthquakes, and tsunamis show that society often handles such choices poorly. Sometimes nature surprises us, when an earthquake, hurricane, or flood is bigger or has greater effects than expected from detailed hazard assessments. In other cases, nature outsmarts us, doing great damage despite expensive mitigation measures or causing us to divert limited resources to mitigate hazards that are overestimated. Much of the problem comes from the fact that formulating effective natural hazard policy involves combining science, economics, and risk analysis to analyze a problem and explore the costs and benefits of different options, in situations where the future is very uncertain. Because mitigation policies are typically chosen without such analysis, the results are often disappointing. This book uses general principles and case studies to explore how we can do better by taking an integrated view of natural hazards issues, rather than treating the relevant geoscience, engineering, economics, and policy formulation separately. Thought-provoking questions at the end of each chapter invite readers to confront the complex issues involved. Readership: Instructors, researchers, practitioners, and students interested in geoscience, engineering, economics, or policy issues relevant to natural hazards. Suitable for upper-level undergraduate or graduate courses. Additional resources can be found at: http://www.wiley.com/go/Stein/Playingagainstnature
Matthew Thompson Natural Hazard Uncertainty Assessment. Modeling and Decision Support Matthew Thompson Natural Hazard Uncertainty Assessment. Modeling and Decision Support Новинка

Matthew Thompson Natural Hazard Uncertainty Assessment. Modeling and Decision Support

11397.16 руб. или Купить в рассрочку!
Uncertainties are pervasive in natural hazards, and it is crucial to develop robust and meaningful approaches to characterize and communicate uncertainties to inform modeling efforts. In this monograph we provide a broad, cross-disciplinary overview of issues relating to uncertainties faced in natural hazard and risk assessment. We introduce some basic tenets of uncertainty analysis, discuss issues related to communication and decision support, and offer numerous examples of analyses and modeling approaches that vary by context and scope. Contributors include scientists from across the full breath of the natural hazard scientific community, from those in real-time analysis of natural hazards to those in the research community from academia and government. Key themes and highlights include: Substantial breadth and depth of analysis in terms of the types of natural hazards addressed, the disciplinary perspectives represented, and the number of studies included Targeted, application-centered analyses with a focus on development and use of modeling techniques to address various sources of uncertainty Emphasis on the impacts of climate change on natural hazard processes and outcomes Recommendations for cross-disciplinary and science transfer across natural hazard sciences This volume will be an excellent resource for those interested in the current work on uncertainty classification/quantification and will document common and emergent research themes to allow all to learn from each other and build a more connected but still diverse and ever growing community of scientists.
Huddart David Earth Environments. Past, Present and Future Huddart David Earth Environments. Past, Present and Future Новинка

Huddart David Earth Environments. Past, Present and Future

13656.41 руб. или Купить в рассрочку!
This book provides a comprehensive coverage of the major topics within undergraduate study programmes in geosciences, environmental science, physical geography, natural hazards and ecology. This text introduces students to the Earth's four key interdependent systems: the atmosphere, lithosphere, hydrosphere and biosphere, focussing on their key components, interactions between them and environmental change. Topics covered include: An earth systems model; components systems and processes: atmospheric systems; oceanography, endogenic geological systems and exogenic geological systems, biogeography and, aspects of the Earth's Record. The impact of climate and environmental change is discussed in a final chapter which draws together Earth's systems and their evolution and looks ahead to future earth changes and environments and various time periods in the geological record. Throughout the book geological case studies are used in addition to the modern processes.
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Кроссовки Philippe Model Paris. Цвет: золотой. Материал: натуральная лаковая кожа, текстиль.Сезон: Осень-зима 2018/2019. С бесплатной доставкой и примеркой на Lamoda.
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Кеды Philippe Model Paris. Цвет: белый. Материал: натуральная кожа.Сезон: Весна-лето 2019. С бесплатной доставкой и примеркой на Lamoda.
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Кроссовки Philippe Model Paris. Цвет: мультиколор. Материал: натуральная замша, текстиль.Сезон: Весна-лето 2019. С бесплатной доставкой и примеркой на Lamoda.
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Кроссовки Philippe Model Paris. Цвет: серый. Материал: натуральная замша, текстиль.Сезон: Весна-лето 2019. С бесплатной доставкой и примеркой на Lamoda.
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Кроссовки Philippe Model Paris. Цвет: мультиколор. Материал: искусственная кожа, текстиль.Сезон: Весна-лето 2019. С бесплатной доставкой и примеркой на Lamoda.
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Кроссовки Philippe Model Paris. Цвет: мультиколор. Материал: натуральная замша, текстиль.Сезон: Весна-лето 2019. С бесплатной доставкой и примеркой на Lamoda.

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Praise for the First Edition «. . . an excellent textbook . . . an indispensable reference for biostatisticians and epidemiologists.» —International Statistical Institute A new edition of the definitive guide to classical and modern methods of biostatistics Biostatistics consists of various quantitative techniques that are essential to the description and evaluation of relationships among biologic and medical phenomena. Biostatistical Methods: The Assessment of Relative Risks, Second Edition develops basic concepts and derives an expanded array of biostatistical methods through the application of both classical statistical tools and more modern likelihood-based theories. With its fluid and balanced presentation, the book guides readers through the important statistical methods for the assessment of absolute and relative risks in epidemiologic studies and clinical trials with categorical, count, and event-time data. Presenting a broad scope of coverage and the latest research on the topic, the author begins with categorical data analysis methods for cross-sectional, prospective, and retrospective studies of binary, polychotomous, and ordinal data. Subsequent chapters present modern model-based approaches that include unconditional and conditional logistic regression; Poisson and negative binomial models for count data; and the analysis of event-time data including the Cox proportional hazards model and its generalizations. The book now includes an introduction to mixed models with fixed and random effects as well as expanded methods for evaluation of sample size and power. Additional new topics featured in this Second Edition include: Establishing equivalence and non-inferiority Methods for the analysis of polychotomous and ordinal data, including matched data and the Kappa agreement index Multinomial logistic for polychotomous data and proportional odds models for ordinal data Negative binomial models for count data as an alternative to the Poisson model GEE models for the analysis of longitudinal repeated measures and multivariate observations Throughout the book, SAS is utilized to illustrate applications to numerous real-world examples and case studies. A related website features all the data used in examples and problem sets along with the author's SAS routines. Biostatistical Methods, Second Edition is an excellent book for biostatistics courses at the graduate level. It is also an invaluable reference for biostatisticians, applied statisticians, and epidemiologists.
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