Part I. Introduction: 1. Probabilistic risk analysis; Part II. Theoretical Issues and Background: 2. What is uncertainty?; 3. Probabilistic methods; 4. Statistical inference; 5. Weibull analysis; Part II. System Analysis and Quantification: 6. Fault and event trees; 7. Fault trees - analysis; 8. Dependent failures; 9. Reliability data bases; 10. Expert opinion; 11. Human reliability; 12. Software reliability; Part IV. Uncertainty Modeling and Risk Measurement: 13. Decision theory; 14. Influence diagrams and belief nets; 15. Project risk management; 16. Probabilistic inversion; 17. Uncertainty analysis; 18. Risk measurement and regulation; Bibliography; Index.
A graduate level textbook on probabilistic risk analysis, aimed at statisticians, operations researchers and engineers.
'This is a valuable reference book ... devoid of unnecessary repetition of what has been written earlier by other authors. The book is fresh, neat and comprehensive. I highly recommend it.' Igor Kozine, Risk Decision and Policy 'The presentation is to the point, clear and perfectly highlighted through well chosen practical examples and exercises ... I for one learned a lot from reading this book and whole-heartedly recommend it for its intended readership.' P. A. L. Embrechts, Short Book Reviews '... a text of enormous coverage.' The Mathematical Gazette
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