Risk analysis : assessing uncertainties beyond expected values and probabilities /

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Bibliographic Details
Author / Creator:Aven, Terje.
Imprint:Chichester, England ; Hoboken, NJ : Wiley, ©2008.
Description:1 online resource (x, 194 pages) : illustrations
Language:English
Subject:Risk assessment -- Mathematical models.
Risk -- Mathematical models.
Uncertainty -- Mathematical models.
BUSINESS & ECONOMICS -- Economics -- Microeconomics.
Risk assessment -- Mathematical models.
Risk -- Mathematical models.
Uncertainty -- Mathematical models.
Entscheidung bei Risiko
Entscheidung bei Unsicherheit
Risikomanagement
Electronic books.
Electronic books.
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11220482
Hidden Bibliographic Details
ISBN:9780470694428
0470694424
9780470694435
0470694432
9780470517369
0470517360
Notes:Includes bibliographical references (pages 187-191) and index.
Print version record.
Summary:Everyday we face decisions that carry an element of risk and uncertainty. The ability to analyze, predict, and prepare for the level of risk entailed by these decisions is, therefore, one of the most constant and vital skills needed for analysts, scientists and managers. Risk analysis can be defined as a systematic use of information to identify hazards, threats and opportunities, as well as their causes and consequences, and then express risk. In order to successfully develop such a systematic use of information, those analyzing the risk need to understand the fundamental concepts of risk ana.
Other form:Print version: Aven, T. (Terje). Risk analysis. Chichester, England ; Hoboken, NJ : Wiley, ©2008
Standard no.:10.1002/9780470694435
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245 1 0 |a Risk analysis :  |b assessing uncertainties beyond expected values and probabilities /  |c Terje Aven. 
260 |a Chichester, England ;  |a Hoboken, NJ :  |b Wiley,  |c ©2008. 
300 |a 1 online resource (x, 194 pages) :  |b illustrations 
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504 |a Includes bibliographical references (pages 187-191) and index. 
505 0 |a Part I Theory and methods1 What is a risk analysis?1.1 Why risk analysis?1.2 Risk management1.3 Examples: decision situations2 What is risk?2.1 Vulnerability2.2 How to describe risk quantitatively3 The risk analysis process: planning3.1 Problem definition3.2 Selection of analysis method4 The risk analysis process: risk assessment4.1 Identification of initiating events4.2 Cause analysis4.3 Consequence analysis4.4 Probabilities and uncertainties4.5 Risk picture: risk presentation5 The risk analysis process: risk treatment5.1 Comparisons of alternatives5.2 Management review and judgement6 Risk analysis methods6.1 Coarse risk analysis6.2 Job safety analysis6.3 Failure modes and effects analysis6.4 Hazard and operability Studies6.5 SWIFT6.6 Fault tree analysis6.7 Event tree analysis6.8 Bayesian networks6.9 Monte Carlo simulationPart II Examples of applications7 Safety measures for a road tunnel7.1 Planning7.2 Risk assessment7.3 Risk treatment8 Risk analysis process for an offshore installation8.1 Planning8.2 Risk analysis8.3 Risk picture and comparison of alternatives8.4 Management review and judgement9 Production assurance9.1 Planning9.2 Risk analysis9.3 Risk picture and comparison of alternatives9.4 Management review and judgement: decision10 Risk analysis process for a cash depot10.1 Planning10.2 Risk analysis10.3 Risk picture10.4 Risk-reducing measures10.5 Management review and judgment: decision10.6 Discussion11 Risk analysis process for municipalities11.1 Planning11.2 Risk assessment11.3 Risk treatment12 Risk analysis process for the entire enterprise12.1 Planning12.2 Risk analysis12.3 Overall risk picture12.4 Risk treatment13 Discussion13.1 Risk analysis as a decision support tool13.2 Risk is more than the calculated probabilities and expected values13.3 Risk analysis has both strengths and weaknesses13.4 Reflection on approaches, methods and results13.5 Limitations of the causal chain approach13.6 Risk perspectives13.7 Scientific basis13.8 The implications of the limitations of risk assessment13.9 Critical systems and activities13.10 ConclusionsA Probability calculus and statisticsA. 1 The meaning of a probabilityA. 2 Probability calculusA. 3 Probability distributions: expected valueA. 3.1 Binomial distributionA. 4 Statistics (Bayesian statistics)B Introduction to reliability analysisB. 1 Reliability of systems composed of componentsB. 2 Production systemB. 3 Safety systemC Approach for selecting risk analysis methodsC. 1 Expected consequencesC. 2 Uncertainty factorsC. 3 Frame conditionsC. 4 Selection of a specific methodD TerminologyD. 1 Risk management: relationships between key termsBibliographyIndex. 
588 0 |a Print version record. 
520 |a Everyday we face decisions that carry an element of risk and uncertainty. The ability to analyze, predict, and prepare for the level of risk entailed by these decisions is, therefore, one of the most constant and vital skills needed for analysts, scientists and managers. Risk analysis can be defined as a systematic use of information to identify hazards, threats and opportunities, as well as their causes and consequences, and then express risk. In order to successfully develop such a systematic use of information, those analyzing the risk need to understand the fundamental concepts of risk ana. 
650 0 |a Risk assessment  |x Mathematical models. 
650 0 |a Risk  |x Mathematical models. 
650 0 |a Uncertainty  |x Mathematical models.  |0 http://id.loc.gov/authorities/subjects/sh2008113073 
650 7 |a BUSINESS & ECONOMICS  |x Economics  |x Microeconomics.  |2 bisacsh 
650 7 |a Risk assessment  |x Mathematical models.  |2 fast  |0 (OCoLC)fst01098155 
650 7 |a Risk  |x Mathematical models.  |2 fast  |0 (OCoLC)fst01098126 
650 7 |a Uncertainty  |x Mathematical models.  |2 fast  |0 (OCoLC)fst01160835 
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655 0 |a Electronic books. 
655 4 |a Electronic books. 
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