Modeling Count Data (Paperback)

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.

General

Imprint:	Cambridge UniversityPress
Country of origin:	United Kingdom
Release date:	July 2014
First published:	July 2014
Authors:	Joseph M. Hilbe
Dimensions:	235 x 177 x 15mm (L x W x T)
Format:	Paperback - Trade
Pages:	300
ISBN-13:	978-1-107-61125-2
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Promotions
LSN:	1-107-61125-3
Barcode:	9781107611252

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