000			02953cam a22002654a 4500
008			100901s2011 enka b 001 0 eng
020			_a9780521760577
020			_a0521760577
040			_aSDU
050	0	0	_aQA273 _bA951 Q 2011
100	1		_aAven, Terje. _9193227
245	1	0	_aQuantitative risk assessment : _bthe scientific platform / _cTerje Aven.
260			_aCambridge ; _aNew York : _bCambridge University Press, _c2011.
300			_a211 p. : _bill.
500			_aMachine generated contents note: Preface; 1. Introduction to risk management and risk assessments. Challenges; 2. Concepts and perspectives on risk; 3. Science and scientific requirements; 4. Introduction to case studies; 5. Risk assessment when the objective is accurate risk estimation; 6. Risk assessment when the objective is uncertainty descriptions; 7. Risk management and communication issues; 8. Towards a holistic approach to risk assessments; 9. Conclusions; Appendix A. Introduction to probability theory and statistical analysis; Appendix B. Terminology; References; Index.
505	8		_aMachine generated contents note: Preface; 1. Introduction to risk management and risk assessments. Challenges; 2. Concepts and perspectives on risk; 3. Science and scientific requirements; 4. Introduction to case studies; 5. Risk assessment when the objective is accurate risk estimation; 6. Risk assessment when the objective is uncertainty descriptions; 7. Risk management and communication issues; 8. Towards a holistic approach to risk assessments; 9. Conclusions; Appendix A. Introduction to probability theory and statistical analysis; Appendix B. Terminology; References; Index.
505	8		_aHKBU library
518			_aYT2025 M10
520			_a"Quantitative 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.
650		0	_aRisk assessment _xStatistical methods. _9193228
650		0	_aDecision making _xStatistical methods. _9193229
900			_a= C.1 SDU
942			_cGBE _2lcc
999			_c103994 _d103994