Categoracal Data Analysis

Agresti, Alan - New York : Wiley-Interscience - 2013

Introduction: Distributions and inference for categorical data -- Describing contingency tables -- Inference for two-way contingency tables -- Introduction to generalized linear models -- Logistic regression -- Building, checking, and applying logistic regression models -- Alternative modeling of binary response data -- Models for multinomial responses -- Loglinear models for contingency tables -- Building and extending loglinear models -- Models for matched pairs -- Clustered categorical data: marginal and transitional models -- Clustered categorical data: random effects models -- Other mixture models for discrete data -- Non-model-based classification and clustering -- Large- and small-sample theory for multinomial models -- Historical tour of categorical data analysis -- Appendix A: Statistical software for categorical data analysis -- Appendix B: Chi-squared distribution values.