000			02067nam a22003017a 4500
001			sulb-eb0017417
003			BD-SySUS
005			20160405140653.0
008			101011s2011||||enk o ||1 0|eng|d
020			_a9780511974120 (ebook)
020			_z9780521760577 (hardback)
040			_aUkCbUP _beng _erda _cUkCbUP _dBD-SySUS.
050	0	0	_aQA273 _b.A93 2011
082	0	0	_a519.2/87 _222
100	1		_aAven, Terje, _eauthor.
245	1	0	_aQuantitative Risk Assessment : _bThe Scientific Platform / _cTerje Aven.
264		1	_aCambridge : _bCambridge University Press, _c2011.
300			_a1 online resource (224 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			_aQuantitative risk assessments cannot eliminate risk, nor can they resolve trade-offs. They can, however, guide principled risk management and reduction - if the quality of assessment is high and decision makers understand how to use it. This book builds a unifying scientific framework for discussing and evaluating the quality of risk assessments and whether they are fit for purpose. Uncertainty is a central topic. In practice, uncertainties about inputs are rarely reflected in assessments, with the result that many safety measures are considered unjustified. Other topics include the meaning of a probability, the use of probability models, the use of Bayesian ideas and techniques, and the use of risk assessment in a practical decision-making context. Written for professionals, as well as graduate students and researchers, the book assumes basic probability, statistics and risk assessment methods. Examples make concepts concrete, and three extended case studies show the scientific framework in action.
650		0	_aProbabilities
776	0	8	_iPrint version: _z9780521760577
856	4	0	_uhttp://dx.doi.org/10.1017/CBO9780511974120
942			_2Dewey Decimal Classification _ceBooks
999			_c38855 _d38855