Negative binomial regression - Info and Reading Options
By Joseph Hilbe
"Negative binomial regression" was published by Cambridge University Press in 2011 - Cambridge, UK, it has 553 pages and the language of the book is English.
“Negative binomial regression” Metadata:
- Title: Negative binomial regression
- Author: Joseph Hilbe
- Language: English
- Number of Pages: 553
- Publisher: Cambridge University Press
- Publish Date: 2011
- Publish Location: Cambridge, UK
“Negative binomial regression” Subjects and Themes:
- Subjects: Poisson algebras - Negative binomial distribution - Algebra - Binomial theorem - MATHEMATICS / Probability & Statistics / General
Edition Specifications:
- Pagination: xviii, 553 p. :
Edition Identifiers:
- The Open Library ID: OL24893461M - OL15988824W
- Online Computer Library Center (OCLC) ID: 694679188
- Library of Congress Control Number (LCCN): 2010051121
- ISBN-13: 9780521198158
- ISBN-10: 0521198151
- All ISBNs: 0521198151 - 9780521198158
AI-generated Review of “Negative binomial regression”:
"Negative binomial regression" Table Of Contents:
- 1- The concept of risk
- 2- Overview of count response models
- 3- Methods of estimation
- 4- Assessment of count models
- 5- Poisson regression
- 6- Overdispersion
- 7- Negative binomial regression
- 8- Negative binomial regression: modeling
- 9- Alternative variance parameterizations
- 10- Problems with zero counts
- 11- Censored and truncated count models
- 12- Handling endogeneity and latent class models
- 13- Count panel models
- 14- Bayesian negative binomial models
- 15- Appendix A. Constructing and interpreting interactions terms
- 16- Appendix B. Data sets, commands, functions.
"Negative binomial regression" Description:
The Open Library:
"This second edition of Hilbe's Negative Binomial Regression is a substantial enhancement to the popular first edition. The only text devoted entirely to the negative binomial model and its many variations, nearly every model discussed in the literature is addressed. The theoretical and distributional background of each model is discussed, together with examples of their construction, application, interpretation, and evaluation. Complete Stata and R code are provided throughout the text, with additional code (plus SAS), derivations, and data provided on the book's website. Written for the practicing researcher, the text begins with an examination of risk and rate ratios, and of the estimating algorithms used to model count data. The book then gives an in-depth analysis of Poisson regression and an evaluation of the meaning and nature of overdispersion, followed by a comprehensive analysis of the negative binomial distribution and of its parameterizations into various models for evaluating count data"--
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