Negative binomial regression /
Hilbe, Joseph.
Negative binomial regression / Joseph M. Hilbe. - 2nd ed. - Cambridge, UK ; New York : Cambridge University Press, 2011. - xviii, 553 p. : ill. ; 24 cm.
Includes bibliographical references and index.
The concept of risk
Overview of count response models
Methods of estimation
Assessment of count models
Poisson regression
Overdispersion
Negative binomial regression
Negative binomial regression: modeling
Alternative variance parameterizations
Problems with zero counts
Censored and truncated count models
Handling endogeneity and latent class models
Count panel models
Bayesian negative binomial models
Appendix A. Constructing and interpreting interactions terms
Appendix B. Data sets, commands, functions
"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"--
9780521198158 (hardback) 0521198151 (hardback)
Negative binomial distribution.
Poisson algebras.
519.24 / HIL
Negative binomial regression / Joseph M. Hilbe. - 2nd ed. - Cambridge, UK ; New York : Cambridge University Press, 2011. - xviii, 553 p. : ill. ; 24 cm.
Includes bibliographical references and index.
The concept of risk
Overview of count response models
Methods of estimation
Assessment of count models
Poisson regression
Overdispersion
Negative binomial regression
Negative binomial regression: modeling
Alternative variance parameterizations
Problems with zero counts
Censored and truncated count models
Handling endogeneity and latent class models
Count panel models
Bayesian negative binomial models
Appendix A. Constructing and interpreting interactions terms
Appendix B. Data sets, commands, functions
"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"--
9780521198158 (hardback) 0521198151 (hardback)
Negative binomial distribution.
Poisson algebras.
519.24 / HIL