Maximum Likelihood for Social Science : Strategies for Analysis (Paperback)

Part I. Concepts, Theory, and Implementation: 1. Introduction to maximum likelihood; 2. Theory; 3. Maximum likelihood for binary outcomes; 4. Implementing MLE; Part II. Model Evaluation and Interpretation: 5. Model evaluation and selection; 6. Inference and interpretation; Part III. The Generalized Linear Model: 7. The generalized linear model; 8. Ordered categorical variable models 9. Models for nominal data; 10. Strategies for analyzing count data; Part IV. Advanced Topics: 10. Duration; 11. Strategies for missing data; Part V. A Look Ahead: 13. Epilogue; Index.