Modeling count data - Hilbe, Joseph M. (New York, NY Cambridge University Press, 2014)
Machine generated contents note: Preface; 1. Varieties of count data; 2. Poisson regression; 3. Testing overdispersion; 4. Assessment of fit; 5. Negative binomial regression; 6. Poisson inverse Gaussian regression; 7. Problems with zeros; 8. Modeling under-dispersed count data - generalized Poisson; 9. Complex data: more advanced models; Appendix A: SAS code; References; Index.
Includes bibliographical references and index.
Keywords: Multivariate analysis; Statistics; Linear models (Statistics)