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Categorical Data Analysis (Wiley Series in Probability and Statistics)

Alan Agresti
4.9/5 (18678 ratings)
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Description:"Amstat News" asked three review editors to rate their top five favorite books in the September 2003 issue. "Categorical Data Analysis" was among those chosen.A valuable new edition of a standard reference"A 'must-have' book for anyone expecting to do research and/or applications in categorical data analysis."-"Statistics in Medicine on Categorical Data Analysis," First EditionThe use of statistical methods for categorical data has increased dramatically, particularly for applications in the biomedical and social sciences. Responding to new developments in the field as well as to the needs of a new generation of professionals and students, this new edition of the classic "Categorical Data Analysis" offers a comprehensive introduction to the most important methods for categorical data analysis.Designed for statisticians and biostatisticians as well as scientists and graduate students practicing statistics, "Categorical Data Analysis," Second Edition summarizes the latest methods for univariate and correlated multivariate categorical responses. Readers will find a unified generalized linear models approach that connects logistic regression and Poisson and negative binomial regression for discrete data with normal regression for continuous data. Adding to the value in the new edition is coverage of: Three new chapters on methods for repeated measurement and other forms of clustered categorical data, including marginal models and associated generalized estimating equations (GEE) methods, and mixed models with random effectsStronger emphasis on logistic regression modeling of binary and multicategory dataAn appendix showing the use of SAS for conducting nearly all analyses in the bookPrescriptions for how ordinal variables should be treated differently than nominal variablesDiscussion of exact small-sample proceduresMore than 100 analyses of real data sets to illustrate application of the methods, and more than 600 exercisesAn Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Categorical Data Analysis (Wiley Series in Probability and Statistics). To get started finding Categorical Data Analysis (Wiley Series in Probability and Statistics), you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.
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PDF, EPUB & Kindle Edition
Publisher
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Release
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ISBN
0471360937

Categorical Data Analysis (Wiley Series in Probability and Statistics)

Alan Agresti
4.4/5 (1290744 ratings)
Read Now Download now ⏭ listen AudioBook
Description: "Amstat News" asked three review editors to rate their top five favorite books in the September 2003 issue. "Categorical Data Analysis" was among those chosen.A valuable new edition of a standard reference"A 'must-have' book for anyone expecting to do research and/or applications in categorical data analysis."-"Statistics in Medicine on Categorical Data Analysis," First EditionThe use of statistical methods for categorical data has increased dramatically, particularly for applications in the biomedical and social sciences. Responding to new developments in the field as well as to the needs of a new generation of professionals and students, this new edition of the classic "Categorical Data Analysis" offers a comprehensive introduction to the most important methods for categorical data analysis.Designed for statisticians and biostatisticians as well as scientists and graduate students practicing statistics, "Categorical Data Analysis," Second Edition summarizes the latest methods for univariate and correlated multivariate categorical responses. Readers will find a unified generalized linear models approach that connects logistic regression and Poisson and negative binomial regression for discrete data with normal regression for continuous data. Adding to the value in the new edition is coverage of: Three new chapters on methods for repeated measurement and other forms of clustered categorical data, including marginal models and associated generalized estimating equations (GEE) methods, and mixed models with random effectsStronger emphasis on logistic regression modeling of binary and multicategory dataAn appendix showing the use of SAS for conducting nearly all analyses in the bookPrescriptions for how ordinal variables should be treated differently than nominal variablesDiscussion of exact small-sample proceduresMore than 100 analyses of real data sets to illustrate application of the methods, and more than 600 exercisesAn Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Categorical Data Analysis (Wiley Series in Probability and Statistics). To get started finding Categorical Data Analysis (Wiley Series in Probability and Statistics), you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
—
Format
PDF, EPUB & Kindle Edition
Publisher
—
Release
—
ISBN
0471360937

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