An Introduction to Categorical Data Analysis / Edition 1by Alan Agresti, John Wiley, Ralph A. Bradley, Vic Barnett
Pub. Date: 02/28/1996
A non-technical introductory featuring the most important techniques for analyzing categorical data such as classical inferences for two-and-three way contingency tables, logistic regression, log linear models and matched-pairs data. Contains more than 200 exercises and more than 100 examples of authentic data sets. An appendix describes the use of computer packages to perform analyses in the text.
Table of Contents
Three-Way Contingency Tables.
Generalized Linear Models.
Loglinear Models for Contingency Tables.
Building and Applying Logit and Loglinear Models.
Multicategory Logit Models.
Models for Matched Pairs.
A Twentieth-Century Tour of Categorical Data Analysis.
Table of Chi-Squared Distribution Values for Various Right-Tail Probabilities.
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