000			02131nam a22003497a 4500
001			sulb-eb0016639
003			BD-SySUS
005			20160405140617.0
008			100519s2010||||enk o ||1 0|eng|d
020			_a9780511779329 (ebook)
020			_z9780521765015 (hardback)
020			_z9780521748681 (paperback)
040			_aUkCbUP _beng _erda _cUkCbUP _dBD-SySUS.
050	0	0	_aHD30.23 _b.W34 2010
082	0	0	_a338.5 _222
100	1		_aWakker, Peter P., _eauthor.
245	1	0	_aProspect Theory : _bFor Risk and Ambiguity / _cPeter P. Wakker.
264		1	_aCambridge : _bCambridge University Press, _c2010.
300			_a1 online resource (518 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			_aProspect Theory: For Risk and Ambiguity, provides a comprehensive and accessible textbook treatment of the way decisions are made both when we have the statistical probabilities associated with uncertain future events (risk) and when we lack them (ambiguity). The book presents models, primarily prospect theory, that are both tractable and psychologically realistic. A method of presentation is chosen that makes the empirical meaning of each theoretical model completely transparent. Prospect theory has many applications in a wide variety of disciplines. The material in the book has been carefully organized to allow readers to select pathways through the book relevant to their own interests. With numerous exercises and worked examples, the book is ideally suited to the needs of students taking courses in decision theory in economics, mathematics, finance, psychology, management science, health, computer science, Bayesian statistics, and engineering.
650		0	_aDecision making
650		0	_aRisk
650		0	_aUncertainty
650		0	_aProbabilities
776	0	8	_iPrint version: _z9780521765015
856	4	0	_uhttp://dx.doi.org/10.1017/CBO9780511779329
942			_2Dewey Decimal Classification _ceBooks
999			_c38077 _d38077