000			02323nam a22004098i 4500
005			20250919005621.0
006			m|||||o||d||||||||
007			cr||||||||||||
008			170308s2014||||enk o ||1 0|eng|d
020			_a9781139236065 (ebook)
020			_z9781107028333 (hardback)
020			_z9781107611252 (paperback)
035			_a(UkCbUP)CR9781139236065
039		9	_a201703081722 _bhafiz _c201606080946 _dfati _y10-16-2015 _zhafiz _wUPO_10044530-hafizupload16102015.mrc _x173
040			_aUkCbUP _beng _erda _cUkCbUP
050	0	0	_aQA278 _b.H56 2014
082	0	0	_a519.5/35 _223
100	1		_aHilbe, Joseph M., _eauthor.
245	1	0	_aModeling Count Data / _cJoseph M. Hilbe.
264		1	_aCambridge : _bCambridge University Press, _c2014.
300			_a1 online resource (300 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 07 Mar 2017).
520			_aThis entry-level text offers clear and concise guidelines on how to select, construct, interpret, and evaluate count data. Written for researchers with little or no background in advanced statistics, the book presents treatments of all major models using numerous tables, insets, and detailed modeling suggestions. It begins by demonstrating the fundamentals of modeling count data, including a thorough presentation of the Poisson model. It then works up to an analysis of the problem of overdispersion and of the negative binomial model, and finally to the many variations that can be made to the base count models. Examples in Stata, R, and SAS code enable readers to adapt models for their own purposes, making the text an ideal resource for researchers working in health, ecology, econometrics, transportation, and other fields.
650		0	_aMultivariate analysis
650		0	_aStatistics
650		0	_aLinear models (Statistics)
776	0	8	_iPrint version: _z9781107028333
856	4	0	_uhttps://eresourcesptsl.ukm.remotexs.co/user/login?url=https://doi.org/10.1017/CBO9781139236065
907			_a.b16221138 _b2022-10-05 _c2019-11-12
942			_n0
914			_avtls003594781
998			_anone _b2015-03-10 _cm _da _feng _genk _y0 _z.b16221138
999			_c599816 _d599816