Modeling count data

Modeling count data

by Hilbe, Joseph

Type Book
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"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 suggestions. It begins by demonstrating the fundamentals of linear regression and works up to an analysis of the Poisson and negative binomial models, and to the problem of overdispersion. Example…

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Title Statements

  • Full title :Modeling count data / Joseph M. Hilbe.

Summary

"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 suggestions. It begins by demonstrating the fundamentals of linear regression and works up to an analysis of the Poisson and negative binomial models, and to the problem of overdispersion. 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 public health, ecology, econometrics, transportation, and other related fields."--

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Edition Statements

  • Publication Date:2014.

Publication Statements

The Physical Object

  • Description:xv, 283 p

Edition Identifiers

  • ISBN:9781107611252, 1107611253
  • oclc:ocn919483103
  • LC Classification:QA278
  • Dewey Decimal:519.5/35

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.

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Subjects

Analyse multivariée LINEAR MODELS Linear models (Statistics) modèles linéaires Modèles linéaires (statistique) multivariate analysis Statistics Statistics as Topic -- methods Statistiques

Writers

Hilbe, Joseph

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