CONTENTS:
1. Introduction.
2. Gaussian-Based Data Analysis.
3. Gaussian-Based Model Building.
4. Categorical Data and Goodness-of-Fit.
5. Regression Models for Count Data.
6. Analyzing Two-Way Tables.
7. Tables with More Structure.
8. Multidimensional Contingency Tables.
9. Regression Models for Binary Data.
10. Regression Models for Multiple Category Response Data.
A, Some Basics of Matrix Algebra.