000 02220nam a22003498i 4500
001 CR9780511610356
003 UkCbUP
005 20200124160257.0
006 m|||||o||d||||||||
007 cr||||||||||||
008 141103s2005||||enk o ||1 0|eng|d
020 _a9780511610356 (ebook)
020 _z9780521844260 (hardback)
020 _z9780521605779 (paperback)
040 _aUkCbUP
_beng
_erda
_cUkCbUP
050 0 0 _aQA279.4
_b.H46 2005
082 0 0 _a658.4033
_222
100 1 _aHensher, David A.,
_d1947-
_eauthor.
245 1 0 _aApplied choice analysis :
_ba primer /
_cDavid A. Hensher, John M. Rose, William H. Greene.
264 1 _aCambridge :
_bCambridge University Press,
_c2005.
300 _a1 online resource (xxiv, 717 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).
520 _aAlmost without exception, everything human beings undertake involves a choice. In recent years there has been a growing interest in the development and application of quantitative statistical methods to study choices made by individuals with the purpose of gaining a better understanding both of how choices are made and of forecasting future choice responses. In this primer the authors provide an unintimidating introduction to the main techniques of choice analysis and include detail on themes such as data collection and preparation, model estimation and interpretation and the design of choice experiments. A companion website to the book provides practice data sets and software to estimate the main discrete choice models such as multinomial logit, nested logit and mixed logit. This primer will be an invaluable resource to students as well as of immense value to consultants and professionals, researchers and anyone else interested in choice analysis and modelling.
650 0 _aDecision making
_xMathematical models.
700 1 _aRose, John M.,
_eauthor.
700 1 _aGreene, William H.,
_d1951-
_eauthor.
776 0 8 _iPrint version:
_z9780521844260
856 4 0 _uhttps://doi.org/10.1017/CBO9780511610356
999 _c520074
_d520072