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
8 Data for Risk Studies
Appendix A Fundamentals of Probability and Statistics
Appendix B Failure Data
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acceptable actions activities alternative analysis annual applications approach assessment associated assumed benefits Chapter complexity components computed concepts condition consequences considered construction cost damage decision defined definition depends determine developed distribution economic effects elicitation engineering equal estimate evaluated event example experts factors failure Figure flood flow function given hazard High human identified ignorance important increasing interest interval issues knowledge lead likelihood limit loss maintenance mean measure methods needed normal objectives obtained occurrence operation optimal outcomes parameters performance planning possible presented prior probability Problem questions random variable reduce reliability repair represent requirements respectively risk risk assessment sample scenarios selected shown in Figure shows sources standard deviation statistical step structure Table tion uncertainty utility variance various