1. Introduction 2. Model Specification and Estimation 3. Basic Count Regression 4. Generalized Count Regression 5. Model Evaluation and Testing 6. Empirical Illustrations 7. Time Series Data 8. Multivariate Data 9. Longitudinal Data 10. Measurement Errors 11. Nonrandom Samples and Simultaneity 12. Flexible Methods for Counts App. B. Functions, Distributions, and Moments App. C. Software
Summary
Students in both the natural and social sciences often seek regression models to explain the frequency of events, such as visits to a doctor. This analysis provides the most comprehensive and up-to-date account of models and methods to interpret such data
Bibliography
Includes bibliographical references (pages 379-398) and indexes
