Modeling Count Data Joseph M Hilbe

ISBN: 9781107611252

Published: July 21st 2014

Paperback

300 pages


Description

Modeling Count Data  by  Joseph M Hilbe

Modeling Count Data by Joseph M Hilbe
July 21st 2014 | Paperback | PDF, EPUB, FB2, DjVu, audiobook, mp3, RTF | 300 pages | ISBN: 9781107611252 | 10.71 Mb

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 modelsMoreThis 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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