Log-Linear Models and Logistic Regression

• Main Author: Christensen, Ronald (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: New York, NY : Springer New York, 1997.
• Edition: Second Edition.
• Series: Springer Texts in Statistics,
• Subjects: Mathematics.; Algebra.; Applied mathematics.; Engineering mathematics.; Probabilities.; Probability Theory and Stochastic Processes.; Applications of Mathematics.

As the new title indicates, this second edition of Log-Linear Models has been modi?ed to place greater emphasis on logistic regression. In addition to new material, the book has been radically rearranged. The fundamental material is contained in Chapters 1-4. Intermediate topics are presented in Cha...

Table of Contents:

• 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.