Modeling Count Data

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Joseph M. HilbeCambridge University Press, 10/16/2014EAN 9781107028333, ISBN10: 1107028337Hardcover, 300 pages, 24.2 x 18.2 x 2 cmLanguage: EnglishThis entry-level text offers clea r 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 suggestions. It begins by demonstrating the fundamentals of modeling count data, including a thorough presentation of the Poisson model. It then works up to an analysis of the problem of overdispersion and of the negative binomial model, and finally to the many variations that can be made to the base count models. Examples in Stata, R, and SAS code enable readers to adapt models for their own purposes, making the text an ideal resource for researchers working in health, ecology, econometrics, transportation, and other fields.Preface1. Varieties of count data2. Poisson regression3. Testing overdispersion4. Assessment of fit5. Negative binomial regression6. Poisson inverse Gaussian regression7. Problems with zeros8. Modeling under-dispersed count data - generalized Poisson9. Complex datamore advanced modelsAppendix ASAS codeReferencesIndex. Show more