02445cam a22002654a 4500008004100000020001800041020001500059040000800074050002300082100003000105245005300135250001200188260006800200300001900268505055800287505001700845518001500862520102200877650004401899650003001943900001401973942001301987999001902000952016002019101202s2011    enka     b    001 0 eng    a9780521198158  a0521198151  aSDU00aQA161bH641 N 20111 aHilbe, Joseph M.,919320710aNegative binomial regression /cJoseph M. Hilbe.  a2nd ed.  aCambridge, UK ;aNew York :bCambridge University Press,c2011.  a553 p. :bill.0 aThe 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.0 aHKBU library  aYT2025 M08  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"-- 0aNegative binomial distribution.9193208 0aPoisson algebras.9192538  a= C.1 SDU  cGBE2lcc  c103989d103989  00102lcc406QA0161 H641 N2011708CGB9278966aSDUbSDUcGEN3d2025-08-22e2l0oQA161 H641 N 2011p1000385040r2025-08-22 00:00:00tC.1w2025-08-22yGBE