• 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