Categorical Data Analysis / Edition 3

Categorical Data Analysis / Edition 3

by Alan Agresti
     
 

ISBN-10: 0470463635

ISBN-13: 9780470463635

Pub. Date: 12/18/2012

Publisher: Wiley

Praise for the Second Edition

"A must-have book for anyone expecting to do research and/or applications in categorical data analysis."
Statistics in Medicine

"It is a total delight reading this book."
Pharmaceutical Research

"If you do any analysis of categorical data, this is an essential desktop reference."
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Overview

Praise for the Second Edition

"A must-have book for anyone expecting to do research and/or applications in categorical data analysis."
Statistics in Medicine

"It is a total delight reading this book."
Pharmaceutical Research

"If you do any analysis of categorical data, this is an essential desktop reference."
Technometrics

The use of statistical methods for analyzing categorical data has increased dramatically, particularly in the biomedical, social sciences, and financial industries. Responding to new developments, this book offers a comprehensive treatment of the most important methods for categorical data analysis.

Categorical Data Analysis, Third 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 loglinear models for discrete data with normal regression for continuous data. This edition also features:

  • An emphasis on logistic and probit regression methods for binary, ordinal, and nominal responses for independent observations and for clustered data with marginal models and random effects models
  • Two new chapters on alternative methods for binary response data, including smoothing and regularization methods, classification methods such as linear discriminant analysis and classification trees, and cluster analysis
  • New sections introducing the Bayesian approach for methods in that chapter
  • More than 100 analyses of data sets and over 600 exercises
  • Notes at the end of each chapter that provide references to recent research and topics not covered in the text, linked to a bibliography of more than 1,200 sources
  • A supplementary website showing how to use R and SAS; for all examples in the text, with information also about SPSS and Stata and with exercise solutions

Categorical Data Analysis, Third Edition is an invaluable tool for statisticians and methodologists, such as biostatisticians and researchers in the social and behavioral sciences, medicine and public health, marketing, education, finance, biological and agricultural sciences, and industrial quality control.

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Product Details

ISBN-13:
9780470463635
Publisher:
Wiley
Publication date:
12/18/2012
Series:
Wiley Series in Probability and Statistics Series, #792
Edition description:
New Edition
Pages:
744
Sales rank:
417,444
Product dimensions:
10.10(w) x 7.30(h) x 1.70(d)

Related Subjects

Table of Contents

Describing Two-Way Contingency Tables.
Inference for Two-Way Contingency Tables.
Models for Binary Response Variables.
Loglinear Models.
Fitting Loglinear and Logit Models.
Building and Applying Loglinear Models.
Loglinear-Logit Models for Ordinal Variables.
Multinomial Response Models.
Models for Matched Pairs.
Analyzing Repeated Categorical Response Data.
Asymptotic Theory for Parametric Models.
Estimation Theory for Parametric Models.
Appendices.
Bibliography.
Index of Examples.
Index of Selected Notation.
Indexes.

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