A Comprehensive Solution Manual for Generalized Linear Models By John P. Hoffmann, Brigham Young University
1. A Review of the Linear Regression Model.
2. Introduction to Generalized Linear Models.
3. Logistic and Probit Regression Models.
4. Ordered Logistic and Probit Regression Models.
5. The Multinomial Logistic Regression Model.
6. Poisson and Negative Binomial Regression Models.
7. Event History and Survival Models.
8. Where Do We Go from Here?
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