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Modeling Count Data - by Joseph M Hilbe (Paperback)

Modeling Count Data - by  Joseph M Hilbe (Paperback) - image 1 of 1
Modeling Count Data - by  Joseph M Hilbe (Paperback) - image 1 of 1
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About this item


Number of Pages: 300

Genre: Mathematics

Format: Paperback

Publisher: Cambridge University Press

Book theme: Multivariate Analysis

Author: Joseph M Hilbe

Language: English

Street Date: October 16, 2014
TCIN: 78571813
UPC: 9781107611252
Item Number (DPCI): 247-35-2327


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 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.
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