Categorial data analysis

Alan Agresti

730 pages, parution le 17/10/2002 (2^eme édition)

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Résumé

The 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 effects
Stronger emphasis on logistic regression modeling of binary and multicategory data
An appendix showing the use of SAS for conducting nearly all analyses in the book
Prescriptions for how ordinal variables should be treated differently than nominal variables
Discussion of exact small-sample procedures
More than 100 analyses of real data sets to illustrate application of the methods, and more than 600 exercises

Contents

Introduction: Distributions and Inference for Categorical Data
Describing Contingency Tables
Inference for Contingency Tables
Introduction to Generalized Linear Models
Logistic Regression
Building and Applying Logistic Regression Models
Logit Models for Multinomial Responses
Loglinear Models for Contingency Tables
Building and Extending Loglinear/Logit Models
Models for Matched Pairs
Analyzing Repeated Categorical Response Data
Random Effects: Generalized Linear Mixed Models for Categorical Responses
Other Mixture Models for Categorical Data
Asymptotic Theory for Parametric Models
Alternative Estimation Theory for Parametric Models
Historical Tour of Categorical Data Analysis

L'auteur - Alan Agresti

ALAN AGRESTI, PHD, is Distinguished Professor in the Department of Statistics at the University of Florida. He has published extensively on categorical data methods and has presented courses on the topic for universities, companies, and professional organizations worldwide. A Fellow of the American Statistical Association, he is also the author of two other Wiley texts on categorical data analysis and coauthor of Statistical Methods for the Social Sciences.

Caractéristiques techniques

	PAPIER
Éditeur(s)	Wiley
Auteur(s)	Alan Agresti
Parution	17/10/2002
Édition	2^eme édition
Nb. de pages	730
Format	16 x 24
Couverture	Relié
Poids	1131g
Intérieur	Noir et Blanc
EAN13	9780471360933
ISBN13	978-0-471-36093-3