000			02202nam a22003377a 4500
001			sulb-eb0017286
003			BD-SySUS
005			20160405140644.0
008			101028s2010||||enk o ||1 0|eng|d
020			_a9780511845062 (ebook)
020			_z9780521194204 (hardback)
020			_z9780521142373 (paperback)
040			_aUkCbUP _beng _erda _cUkCbUP _dBD-SySUS.
050	0	0	_aQA278.7 _b.G74 2010
082	0	0	_a153.830151 _222
100	1		_aGreene, William H., _eauthor.
245	1	0	_aModeling Ordered Choices : _bA Primer / _cWilliam H. Greene, David A. Hensher.
264		1	_aCambridge : _bCambridge University Press, _c2010.
300			_a1 online resource (382 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			_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., _eauthor.
776	0	8	_iPrint version: _z9780521194204
856	4	0	_uhttp://dx.doi.org/10.1017/CBO9780511845062
942			_2Dewey Decimal Classification _ceBooks
999			_c38724 _d38724