Generalized Linear Models
1. Estimating GLMs
1.1 Models
1.2 Maximum-Likelihood Estimation
2. Computing GLM Estimates
2.1 Data Preparation
2.2 Interactive Estimation
2.3 Noninteractive Estimation
3. Weights & Constraints
3.1 Prior Weights
3.2 Replications in Data
3.3 Constrained Estimation
4. Options
4.1 Setting Options
4.2 Weights and Offsets
4.3 Control Parameters
4.4 Output Modification
5. Statistical Evaluation and Presentation
5.1 Statistical Characteristics
5.2 Output Display
5.3 Significance of Parameters
5.4 Likelihood Ratio Tests for Comparing Nested Models
5.5 Subset Selection
Bibliography