Provides guidance and fully worked examples of how to select, construct, interpret and evaluate the full range of count models.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Joseph Hilbe is a solar system ambassador with NASA's Jet Propulsion Laboratory, California Institute of Technology; an Adjunct Professor of Statistics at Arizona State University; an Emeritus Professor at the University of Hawaii; and a statistical modeling instructor for Statistics.com, a web-based continuing-education program in statistics. He is the author of several books on statistical modeling and serves as the coordinating editor for the Cambridge University Press series Predictive Analytics in Action.
Inhaltsangabe
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.
