000			02121nam a22003498i 4500
001			CR9780511804861
003			UkCbUP
005			20200124160304.0
006			m|||||o||d||||||||
007			cr||||||||||||
008			101021s2004||||enk o ||1 0|eng|d
020			_a9780511804861 (ebook)
020			_z9780521782777 (hardback)
020			_z9780521369978 (paperback)
040			_aUkCbUP _beng _erda _cUkCbUP
050	0	0	_aTA340 _b.J68 2004
082	0	0	_a620/.007/27 _222
100	1		_aJordaan, Ian J., _d1939- _eauthor.
245	1	0	_aDecisions under uncertainty : _bprobabilistic analysis for engineering decisions / _cIan Jordaan.
264		1	_aCambridge : _bCambridge University Press, _c2004.
300			_a1 online resource (xvi, 672 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			_aTo better understand the core concepts of probability and to see how they affect real-world decisions about design and system performance, engineers and scientists might want to ask themselves the following questions: what exactly is meant by probability? What is the precise definition of the 100-year load and how is it calculated? What is an 'extremal' probability distribution? What is the Bayesian approach? How is utility defined? How do games fit into probability theory? What is entropy? How do I apply these ideas in risk analysis? Starting from the most basic assumptions, this 2005 book develops a coherent theory of probability and broadens it into applications in decision theory, design, and risk analysis. This book is written for engineers and scientists interested in probability and risk. It can be used by undergraduates, graduate students, or practicing engineers.
650		0	_aEngineering _xStatistical methods.
650		0	_aDecision making _xStatistical methods.
650		0	_aProbabilities.
776	0	8	_iPrint version: _z9780521782777
856	4	0	_uhttps://doi.org/10.1017/CBO9780511804861
999			_c520628 _d520626