000			02124nam a22003257a 4500
001			sulb-eb0017357
003			BD-SySUS
005			20160405140649.0
008			101011s2011||||enk o ||1 0|eng|d
020			_a9780511973420 (ebook)
020			_z9780521198158 (hardback)
040			_aUkCbUP _beng _erda _cUkCbUP _dBD-SySUS.
050	0	0	_aQA161.B5 _bH55 2011
082	0	0	_a519.2/4 _222
100	1		_aHilbe, Joseph M., _eauthor.
245	1	0	_aNegative Binomial Regression / _cJoseph M. Hilbe.
250			_a2nd ed.
264		1	_aCambridge : _bCambridge University Press, _c2011.
300			_a1 online resource (570 pages) : _bdigital, PDF file(s).
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
500			_aTitle from publisher's bibliographic system (viewed on 04 Apr 2016).
520			_aThis 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 codes are provided throughout the text, with additional code (plus SAS), derivations and data provided on the book's website. Written for the practising 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
776	0	8	_iPrint version: _z9780521198158
856	4	0	_uhttp://dx.doi.org/10.1017/CBO9780511973420
942			_2Dewey Decimal Classification _ceBooks
999			_c38795 _d38795