000			02830nam a2200373 i 4500
001			CR9780511845062
003			UkCbUP
005			20240913165712.0
006			m|||||o||d||||||||
007			cr||||||||||||
008			101028s2010||||enk o ||1 0|eng|d
020			_a9780511845062 (ebook)
020			_z9780521194204 (hardback)
020			_z9780521142373 (paperback)
040			_aUkCbUP _beng _erda _cUkCbUP
050	0	0	_aQA278.7 _b.G74 2010
082	0	0	_a153.830151 _222
100	1		_aGreene, William H., _d1951- _eauthor.
245	1	0	_aModeling ordered choices : _ba primer / _cWilliam H. Greene and David A. Hensher.
264		1	_aCambridge : _bCambridge University Press, _c2010.
300			_a1 online resource (xv, 365 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 05 Oct 2015).
505	0		_aIntroduction : random utility and ordered choice models -- Modeling binary choices -- A model for ordered choices -- Antecedents and contemporary counterparts -- Estimation, inference and analysis using the ordered choice model -- Specification issues and generalized models -- Accommodating individual heterogeneity -- Parameter variation and a generalized model -- Ordered choice modeling with panel and time series data -- Bivariate and multivariate ordered choice models -- Two-part and sample selection models -- Semiparametric and nonparametric estimators and analyses.
520			_aIt is increasingly common for analysts to seek out the opinions of individuals and organizations using attitudinal scales such as degree of satisfaction or importance attached to an issue. Examples include levels of obesity, seriousness of a health condition, attitudes towards service levels, opinions on products, voting intentions, and the degree of clarity of contracts. Ordered choice models provide a relevant methodology for capturing the sources of influence that explain the choice made amongst a set of ordered alternatives. The methods have evolved to a level of sophistication that can allow for heterogeneity in the threshold parameters, in the explanatory variables (through random parameters), and in the decomposition of the residual variance. This book brings together contributions in ordered choice modeling from a number of disciplines, synthesizing developments over the last fifty years, and suggests useful extensions to account for the wide range of sources of influence on choice.
650		0	_aOrder statistics.
650		0	_aGoodness-of-fit tests.
700	1		_aHensher, David A., _d1947- _eauthor.
776	0	8	_iPrint version: _z9780521194204
856	4	0	_uhttps://doi.org/10.1017/CBO9780511845062
942			_2ddc _cEB
999			_c8911 _d8911