A graduate level textbook on probabilistic risk analysis, aimed at statisticians, operations researchers and engineers.
Inhaltsverzeichnis
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.
