Categorical Data Analysis / Edition 2

Categorical Data Analysis / Edition 2

by Alan Agresti
     
 

ISBN-10: 0471360937

ISBN-13: 9780471360933

Pub. Date: 07/28/2002

Publisher: Wiley

Summarizes methods used for the analysis of categorical data, including many recently developed techniques. The emphasis is on loglinear and logit modeling techniques, which share many features with linear model methods for continuous variables. Incorporated into the exposition is interesting historical information (and controversies) on the development of categorical…  See more details below

Overview

Summarizes methods used for the analysis of categorical data, including many recently developed techniques. The emphasis is on loglinear and logit modeling techniques, which share many features with linear model methods for continuous variables. Incorporated into the exposition is interesting historical information (and controversies) on the development of categorical data analysis. Chapters 1-7 cover bivariate categorical data and loglinear and logit model building; chapters 8-11 discuss applications and methods; chapters 12 and 13 address theoretical foundations.

Product Details

ISBN-13:
9780471360933
Publisher:
Wiley
Publication date:
07/28/2002
Series:
Wiley Series in Probability and Statistics Series, #359
Edition description:
REV
Pages:
734
Product dimensions:
6.48(w) x 9.45(h) x 1.55(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.

Customer Reviews

Average Review:

Write a Review

and post it to your social network

     

Most Helpful Customer Reviews

See all customer reviews >