Agresti Categorical Data Analysis

2. Auflage 2003
ISBN: 978-0-471-45876-0
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 734 Seiten, E-Book

Reihe: Wiley Series in Probability and Statistics

Amstat News asked three review editors to rate their topfive favorite books in the September 2003 issue. CategoricalData Analysis was among those chosen.
A valuable new edition of a standard reference
"A 'must-have' book for anyone expecting to do research and/orapplications in categorical data analysis."
-Statistics in Medicine on Categorical Data Analysis,First Edition
The use of statistical methods for categorical data hasincreased dramatically, particularly for applications in thebiomedical and social sciences. Responding to new developments inthe field as well as to the needs of a new generation ofprofessionals and students, this new edition of the classicCategorical Data Analysis offers a comprehensiveintroduction to the most important methods for categorical dataanalysis.
Designed for statisticians and biostatisticians as well asscientists and graduate students practicing statistics,Categorical Data Analysis, Second Edition summarizes thelatest methods for univariate and correlated multivariatecategorical responses. Readers will find a unified generalizedlinear models approach that connects logistic regression andPoisson and negative binomial regression for discrete data withnormal regression for continuous data. Adding to the value in thenew edition is coverage of:
* Three new chapters on methods for repeated measurement andother forms of clustered categorical data, including marginalmodels and associated generalized estimating equations (GEE)methods, and mixed models with random effects
* Stronger emphasis on logistic regression modeling of binaryand multicategory data
* An appendix showing the use of SAS for conducting nearly allanalyses in the book
* Prescriptions for how ordinal variables should be treateddifferently than nominal variables
* Discussion of exact small-sample procedures
* More than 100 analyses of real data sets to illustrateapplication of the methods, and more than 600 exercises
* An Instructor's Manual presenting detailed solutions to allthe problems in the book is available from the Wiley editorialdepartment.

Autoren/Hrsg.

Agresti, Alan

Inhaltsverzeichnis

Preface.
1. Introduction: Distributions and Inference for CategoricalData.
2. Describing Contingency Tables.
3. Inference for Contingency Tables.
4. Introduction to Generalized Linear Models.
5. Logistic Regression.
6. Building and Applying Logistic Regression Models.
7. Logit Models for Multinomial Responses.
8. Loglinear Models for Contingency Tables.
9. Building and Extending Loglinear/Logit Models.
10. Models for Matched Pairs.
11. Analyzing Repeated Categorical Response Data.
12. Random Effects: Generalized Linear Mixed Models for CategoricalResponses.
13. Other Mixture Models for Categorical Data*.
14. Asymptotic Theory for Parametric Models.
15. Alternative Estimation Theory for Parametric Models.
16. Historical Tour of Categorical Data Analysis*.
Appendix A. Using Computer Software to Analyze CategoricalData.
Appendix B. Chi-Squared Distribution Values.
References.
Examples Index.
Author Index.
Subject Index.

Über Autor(innen)

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.