Modeling count data /

This entry-level text offers clear and concise guidelines on how to select, construct, interpret and evaluate count data. Written for researchers with little or no background in advanced statistics, the book presents treatments of all major models using numerous tables, insets and detailed modeling...

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Bibliographic Details
Main Author:	Hilbe, Joseph M., 1944- (Author)
Format:	Book
Language:	English
Published:	Cambridge ; New York : Cambridge University Press, 2014.
Subjects:	Multivariate analysis. Statistics. Linear models (Statistics) MATHEMATICS / Probability & Statistics / General.

Table of Contents:

Preface
chapter 1. Varieties of count data
chapter 2. Poisson regression
chapter 3. Testing overdispersion
chapter 4. Assessment of fit
chapter 5. Negative binomial regression
chapter 6. Poisson inverse Gaussian regression
chapter 7. Problems with zeros
chapter 8. Modeling underdispersed count data: generalized Poisson
chapter 9. Complex data: more advanced models
Appendix: SAS code.