Modeling Count Data

Nonfiction, Science & Nature, Mathematics, Statistics, Business & Finance
Cover of the book Modeling Count Data by Joseph M. Hilbe, Cambridge University Press
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Joseph M. Hilbe ISBN: 9781139985369
Publisher: Cambridge University Press Publication: July 21, 2014
Imprint: Cambridge University Press Language: English
Author: Joseph M. Hilbe
ISBN: 9781139985369
Publisher: Cambridge University Press
Publication: July 21, 2014
Imprint: Cambridge University Press
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Cambridge University Press

Cover of the book Python for Scientists by Joseph M. Hilbe
Cover of the book Romance and History by Joseph M. Hilbe
Cover of the book The Cambridge History of South African Literature by Joseph M. Hilbe
Cover of the book Principles of Pricing by Joseph M. Hilbe
Cover of the book The Cambridge Companion to the Beats by Joseph M. Hilbe
Cover of the book The Cambridge Companion to Postcolonial Literary Studies by Joseph M. Hilbe
Cover of the book Zoo Conservation Biology by Joseph M. Hilbe
Cover of the book The Jewish Ghetto and the Visual Imagination of Early Modern Venice by Joseph M. Hilbe
Cover of the book The Cambridge Companion to the Hebrew Bible/Old Testament by Joseph M. Hilbe
Cover of the book The Cambridge History of Ireland: Volume 3, 1730–1880 by Joseph M. Hilbe
Cover of the book A Primer of Botanical Latin with Vocabulary by Joseph M. Hilbe
Cover of the book Money and Power in Anglo-Saxon England by Joseph M. Hilbe
Cover of the book Market Complicity and Christian Ethics by Joseph M. Hilbe
Cover of the book Optimal Transport by Joseph M. Hilbe
Cover of the book The Cambridge Companion to Lévi-Strauss by Joseph M. Hilbe
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy