000 02336pam a2200277 a 4500
003 NhCcYBP
005 20240906143522.0
008 101202s2011 enka b 001 0 eng
020 _a9780521198158 (hardback)
020 _a0521198151 (hardback)
041 _aEnglish
042 _apcc
082 _a519.24
_bHIL
090 _aQA161
_bBin.Hi 2011
100 1 _aHilbe, Joseph.
245 1 0 _aNegative binomial regression /
_cJoseph M. Hilbe.
250 _a2nd ed.
260 _aCambridge, UK ;
_aNew York :
_bCambridge University Press,
_c2011.
300 _axviii, 553 p. :
_bill. ;
_c24 cm.
504 _aIncludes bibliographical references and index.
505 _tThe 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
520 _a"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"--
650 0 _aNegative binomial distribution.
650 0 _aPoisson algebras.
942 _2ddc
_cBOOKS
999 _c43472
_d43472