Modeling count data [E-Book] / Joseph M. Hilbe, Arizona State University and Jet Propulsion Laboratory, California Institute of Technology.
Hilbe, Joseph M., (author)
Cambridge : Cambridge University Press, 2014
1 online resource (xv, 283 pages)
Full Text
Table of Contents:
  • 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.