Joseph M. Hilbe
Modeling Count Data
- ISBN 13:
- 9781107611252
- author:
- Joseph M. Hilbe
- format:
- Paperback
- publisher:
- Cambridge University Press
- language:
- English
- Publication Year:
- 2014
- Pages:
- 300
- Dimensions:
- 17.7 x 1.5 x 23.4 cm
- Genre:
- Science & Nature, Mathematics, Education
- Condition:
- New
- Availability:
- Item usually sent within 5 working days
Description
Modeling Count Data provides clear and concise guidelines for selecting, constructing, interpreting, and evaluating count data. Written for researchers with little or no background in advanced statistics, this text presents treatments of all major models using numerous tables, insets, and detailed modeling suggestions.
The book 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.
With examples in Stata, R, and SAS code, readers can adapt models for their own purposes, making this text an ideal resource for researchers working in health, ecology, econometrics, transportation, and other fields.
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