000			03222nam a22005295i 4500
001			978-3-642-29151-7
003			DE-He213
005			20140220083315.0
007			cr nn 008mamaa
008			120404s2012 gw | s |||| 0|eng d
020			_a9783642291517 _9978-3-642-29151-7
024	7		_a10.1007/978-3-642-29151-7 _2doi
050		4	_aHD30.23
072		7	_aKJT _2bicssc
072		7	_aKJMD _2bicssc
072		7	_aBUS049000 _2bisacsh
082	0	4	_a658.40301 _223
100	1		_aChorus, Caspar G. _eauthor.
245	1	0	_aRandom Regret-based Discrete Choice Modeling _h[electronic resource] : _bA Tutorial / _cby Caspar G. Chorus.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2012.
300			_aVIII, 55p. 11 illus. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aSpringerBriefs in Business, _x2191-5482
505	0		_a?Introduction -- A Random Regret Minimization-based discrete choice model -- Empirical application of Random Regret Minimization-models -- Applicability of Random Regret Minimization-models -- Selection of recent developments in RRM-modeling.
520			_aThis tutorial presents a hands-on introduction to a new discrete choice modeling approach based on the behavioral notion of regret-minimization. This so-called Random Regret Minimization-approach (RRM) forms a counterpart of the Random Utility Maximization-approach (RUM) to discrete choice modeling, which has for decades dominated the field of choice modeling and adjacent fields such as transportation, marketing and environmental economics. Being as parsimonious as conventional RUM-models and compatible with popular software packages, the RRM-approach provides an alternative and appealing account of choice behavior. Rather than providing highly technical discussions as usually encountered in scholarly journals, this tutorial aims to allow readers to explore the RRM-approach and its potential and limitations hands-on and based on a detailed discussion of examples. This tutorial is written for students, scholars and practitioners who have a basic background in choice modeling in general and RUM-modeling in particular. It has been taken care of that all concepts and results should be clear to readers that do not have an advanced knowledge of econometrics.
650		0	_aEconomics.
650		0	_aEngineering economy.
650		0	_aEconometrics.
650		0	_aOperations research.
650		0	_aBusiness planning.
650	1	4	_aEconomics/Management Science.
650	2	4	_aOperation Research/Decision Theory.
650	2	4	_aOperations Research, Management Science.
650	2	4	_aOrganization/Planning.
650	2	4	_aEconometrics.
650	2	4	_aEngineering Economics, Organization, Logistics, Marketing.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783642291500
830		0	_aSpringerBriefs in Business, _x2191-5482
856	4	0	_uhttp://dx.doi.org/10.1007/978-3-642-29151-7
912			_aZDB-2-SBE
999			_c102973 _d102973