Log-Linear Models and Logistic Regression

This book will serve as a reference and a graduate textbook in the area of categorical data analysis. It includes data sets from engineering, education, sociology, and medicine. Professor Christensen is the successful author of four graduate-level texts.

Contenu
Two-Dimensional Tables and Simple Logistic Regression.- Three-Dimensional Tables.- Logistic Regression, Logit Models, and Logistic Discrimination.- Independence Relationships and Graphical Models.- Model Selection Methods and Model Evaluation.- Models for Factors with Quantitative Levels.- Fixed and Random Zeros.- Generalized Linear Models.- The Matrix Approach to Log-Linear Models.- The Matrix Approach to Logit Models.- Maximum Likelihood Theory for Log-Linear Models.- Bayesian Binomial Regression.