000			01654cam a2200313 i 4500
001			18194001
003			BD-DhUL
005			20220417121536.0
008			140619s2014 enka b 001 0 eng
010			_a 2014021778
020			_a9781107611252 (pbk)
040			_aDLC _beng _cDLC _erda _dDLC _dBD-DhUL
042			_apcc
050	0	0	_aQA278 _b.H56 2014
082	0	0	_a519.535 _bHIM
100	1		_aHilbe, Joseph M.
245	0	0	_aModeling count data / _cJoseph M. Hilbe.
260			_aCambridge : _bCambridge University Press, _c2014 (2017 printing).
300			_axv, 283 p. : _bill. ; _c24 cm.
365			_aGBP _b31.99
500			_aIncludes index.
504			_aBibliography: p. 269-275.
520			_a"This 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 linear regression and works up to an analysis of the Poisson and negative binomial models, and to the problem of overdispersion. 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 public health, ecology, econometrics, transportation, and other related fields"-- _cProvided by publisher.
650		0	_aMultivariate analysis.
650		0	_aStatistics.
650		0	_aLinear models (Statistics)
906			_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg
942			_2ddc _cBK
999			_c255804 _d255804