Statistical methods for categorical data analysis, Powers, Daniel Xie, Yu

Автор: Erling B. Andersen
Название: The Statistical Analysis of Categorical Data
ISBN: 364278819X ISBN-13(EAN): 9783642788192
Издательство: Springer
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Цена: 15372.00 р.
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Описание: The aim of this book is to give an up to date account of the most commonly uses statisti- cal models for categorical data. In many cases, the data sets are those data sets, which were not included in the examples of the book, although they at one point in time were regarded as potential can- didates for an example.

Автор: Tang, Wan (tulane University, New Orleans, La) He, Hua (tulane University) Tu, Xin M. (university Of California-san Diego)
Название: Applied categorical and count data analysis
ISBN: 0367568276 ISBN-13(EAN): 9780367568276
Издательство: Taylor&Francis
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Цена: 12248.00 р.
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Описание: This second edition explains how to perform the statistical analysis of discrete data, including categorical and count outcomes. It covers classic concepts and popular topics, such as logistic regression models, along with modern areas including models for zero-modified count outcomes.

Автор: J.D. Jobson
Название: Applied Multivariate Data Analysis
ISBN: 1461269474 ISBN-13(EAN): 9781461269472
Издательство: Springer
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Цена: 13974.00 р.
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Описание: A Second Course in Statistics The past decade has seen a tremendous increase in the use of statistical data analysis and in the availability of both computers and statistical software.

Автор: Guogen Shan
Название: Exact Statistical Inference for Categorical Data
ISBN: 0081006810 ISBN-13(EAN): 9780081006818
Издательство: Elsevier Science
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Цена: 8757.00 р.
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Описание:

Exact Statistical Inference for Categorical Data discusses the way asymptotic approaches have been often used in practice to make statistical inference. This book introduces both conditional and unconditional exact approaches for the data in 2 by 2, or 2 by k contingency tables, and is an ideal reference for users who are interested in having the convenience of applying asymptotic approaches, with less computational time. In addition to the existing conditional exact inference, some efficient, unconditional exact approaches could be used in data analysis to improve the performance of the testing procedure.

Автор: Brajendra C. Sutradhar
Название: Longitudinal Categorical Data Analysis
ISBN: 1493953206 ISBN-13(EAN): 9781493953202
Издательство: Springer
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Цена: 13275.00 р.
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Описание: This is the first book in longitudinal categorical data analysis with parametric correlation models developed based on dynamic relationships among repeated categorical responses.

Автор: James K. Lindsey
Название: The Analysis of Categorical Data Using GLIM
ISBN: 0387970290 ISBN-13(EAN): 9780387970295
Издательство: Springer
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Цена: 16070.00 р.
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Описание: Besides their previous statistics courses, these students have had an introductory course in computer programming (FORTRAN, Pascal, or C) and courses in calculus and linear algebra, so that they may not be typical students of sociology.

Автор: Y. Sakamoto
Название: Categorical Data Analysis by AIC
ISBN: 0792314298 ISBN-13(EAN): 9780792314295
Издательство: Springer
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Цена: 13275.00 р.
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Описание: Presents a practical approach to categorical data analysis based on the Akaike Information Criterion (AIC) and the Akaike Bayesian Information Criterion (ABIC). Topics covered include variable selection for categorical data, Bayesian binary regression and nonparametric density estimator.

Автор: Tam?s Rudas
Название: Lectures on Categorical Data Analysis
ISBN: 1493992597 ISBN-13(EAN): 9781493992591
Издательство: Springer
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Цена: 9083.00 р.
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Описание: This book offers a relatively self-contained presentation of the fundamental results in categorical data analysis, which plays a central role among the statistical techniques applied in the social, political and behavioral sciences, as well as in marketing and medical and biological research. The methods applied are mainly aimed at understanding the structure of associations among variables and the effects of other variables on these interactions. A great advantage of studying categorical data analysis is that many concepts in statistics become transparent when discussed in a categorical data context, and, in many places, the book takes this opportunity to comment on general principles and methods in statistics, addressing not only the “how” but also the “why.” Assuming minimal background in calculus, linear algebra, probability theory and statistics, the book is designed to be used in upper-undergraduate and graduate-level courses in the field and in more general statistical methodology courses, as well as a self-study resource for researchers and professionals. The book covers such key issues as: higher order interactions among categorical variables; the use of the delta-method to correctly determine asymptotic standard errors for complex quantities reported in surveys; the fundamentals of the main theories of causal analysis based on observational data; the usefulness of the odds ratio as a measure of association; and a detailed discussion of log-linear models, including graphical models. The book contains over 200 problems, many of which may also be used as starting points for undergraduate research projects. The material can be used by students toward a variety of goals, depending on the degree of theory or application desired.

Автор: Mukhopadhyay Parimal
Название: Complex Surveys: Analysis of Categorical Data
ISBN: 9811092729 ISBN-13(EAN): 9789811092725
Издательство: Springer
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Цена: 6986.00 р.
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Описание: The primary objective of this book is to study some of the research topics in the area of analysis of complex surveys which have not been covered in any book yet. Many large-scale sample surveys collect data using complex survey designs like multistage stratified cluster designs.

Автор: Stokes Maura E., Davis Charles S., Koch Gary G.
Название: Categorical Data Analysis Using SAS, Third Edition
ISBN: 1607646641 ISBN-13(EAN): 9781607646648
Издательство: Неизвестно
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Цена: 23900.00 р.
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Автор: Azen Razia, Walker Cindy M.
Название: Categorical Data Analysis for the Behavioral and Social Sciences
ISBN: 0367352745 ISBN-13(EAN): 9780367352745
Издательство: Taylor&Francis
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Цена: 22202.00 р.
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Описание: Featuring a practical approach with numerous examples, the second edition of Categorical Data Analysis for the Behavioral and Social Sciences focuses on helping the reader develop a conceptual understanding of categorical methods, making it a much more accessible text than others on the market.

Автор: Azen, Razia (the University Of Wisconsin- Milwaukee, Usa) Walker, Cindy M. (the University Of Wisconsin- Milwaukee, Usa)
Название: Categorical data analysis for the behavioral and social sciences
ISBN: 0367352761 ISBN-13(EAN): 9780367352769
Издательство: Taylor&Francis
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Цена: 14086.00 р.
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Описание: Featuring a practical approach with numerous examples, the second edition of Categorical Data Analysis for the Behavioral and Social Sciences focuses on helping the reader develop a conceptual understanding of categorical methods, making it a much more accessible text than others on the market. The authors cover common categorical analysis methods and emphasize specific research questions that can be addressed by each analytic procedure, including how to obtain results using SPSS, SAS, and R, so that readers are able to address the research questions they wish to answer.Each chapter begins with a "Look Ahead" section to highlight key content. This is followed by an in-depth focus and explanation of the relationship between the initial research question, the use of software to perform the analyses, and how to interpret the output substantively. Included at the end of each chapter are a range of software examples and questions to test knowledge.New to the second edition:The addition of R syntax for all analyses and an update of SPSS and SAS syntax.The addition of a new chapter on GLMMs.Clarification of concepts and ideas that graduate students found confusing, including revised problems at the end of the chapters.Written for those without an extensive mathematical background, this book is ideal for a graduate course in categorical data analysis taught in departments of psychology, educational psychology, human development and family studies, sociology, public health, and business. Researchers in these disciplines interested in applying these procedures will also appreciate this book’s accessible approach.