000			03151nam a2200421 a 4500
001			EBC667619
003			MiAaPQ
006			m o d |
007			cr cn|||||||||
008			101202s2011 enka sb 001 0 eng d
010			_z 2010051121
020			_z9780521198158 (hbk.)
020			_z9781139011228 (e-book)
035			_a(MiAaPQ)EBC667619
035			_a(Au-PeEL)EBL667619
035			_a(CaPaEBR)ebr10452888
035			_a(CaONFJC)MIL301603
035			_a(OCoLC)712560113
040			_aMiAaPQ _cMiAaPQ _dMiAaPQ
050		4	_aQA161.B5 _bH55 2011
082	0	4	_a519.2/4 _222
100	1		_aHilbe, Joseph.
245	1	0	_aNegative binomial regression _h[electronic resource] / _cJoseph M. Hilbe.
250			_a2nd ed.
260			_aCambridge ; _aNew York : _bCambridge University Press, _c2011.
300			_axviii, 553 p. : _bill.
504			_aIncludes bibliographical references and index.
505	8		_aMachine generated contents note: Preface; 1. Introduction; 2. The concept of risk; 3. Overview of count response models; 4. Methods of estimation and assessment; 5. Assessment of count models; 6. Poisson regression; 7. Overdispersion; 8. Negative binomial regression; 9. Negative binomial regression: modeling; 10. Alternative variance parameterizations; 11. Problems with zero counts; 12. Censored and truncated count models; 13. Handling endogeneity and latent class models; 14. Count panel models; 15. Bayesian negative binomial models; Appendix A. Constructing and interpreting interactions; Appendix B. Data sets and Stata files; References; Index.
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"-- _cProvided by publisher.
533			_aElectronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.
650		0	_aNegative binomial distribution.
650		0	_aPoisson algebras.
655		4	_aElectronic books.
710	2		_aProQuest (Firm)
856	4	0	_uhttps://ebookcentral.proquest.com/lib/bcsl-ebooks/detail.action?docID=667619 _zClick to View
999			_c754307 _d754307