Risk Analysis in Engineering and Economics
CRC Press, 26.6.2003 - 600 sivua
More than any other book available, Risk Analysis in Engineering and Economics introduces the fundamental concepts, techniques, and applications of the subject in a style tailored to meet the needs of students and practitioners of engineering, science, economics, and finance. Drawing on his extensive experience in uncertainty and risk modeling and analysis, the author leads readers from the fundamental concepts through the theory, applications, and data requirements, sources, and collection. He emphasizes the practical use of the methods presented and carefully examines the limitations, advantages, and disadvantages of each. Case studies that incorporate the techniques discussed offer a practical perspective that helps readers clearly identify and solve problems encountered in practice.
If you deal with decision-making under conditions of uncertainty, this book is required reading. The presentation includes more than 300 tables and figures, more than 100 examples, many case studies, and a wealth of end-of-chapter problems. Unlike the classical books on reliability and risk assessment, this book helps you relate underlying concepts to everyday applications and better prepares you to understand and use the methods of risk analysis.
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2 Risk Analysis Methods
3 System Definition and Structure
4 Reliability Assessment
5 Failure Consequences and Severity
6 Engineering Economics and Finance
7 Risk Control Methods
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alternative annual Ayyub Bayesian cash flow coefficient components computed conditional probability construction cumulative distribution function cumulative hazard rate cut set damage decision defined developed diagram economic engineering estimate evaluated example expert-opinion elicitation experts factors failure consequences failure modes failure probability failure rate flood gamma distribution given hazard functions hazard rate function human identified ignorance implementation influence diagrams interest rate interval knowledge likelihood lognormal loss maintenance actions maintenance costs mean methods nonlinear normal distribution occurrence operation optimal maintenance outcomes parameters performance Personal Flotation Device probabilistic probability density function probability distribution probability mass function Problem random variable reliability function repair requirements risk analysis risk assessment risk management risk-based Risks associated sample scenarios selected shown in Figure standard deviation statistical strategy structure subsystems Survivor Function Table tion top event uncertainty utility variance