Rausand, Marvin
System reliability theory : models, statistical methods, and applications Marvin Rausand, Arnljot Høyland - 2nd ed. - Hoboken, NJ : Wiley-Interscience, c2004. - xix, 636 p. : ill. ; 24 cm. - Wiley series in probability and statistics. Applied probability and statistics .
Høyland's name appears first on the earlier edition.
1. Introduction. -- 2. Failure Models. -- 3. Qualitative Systems Analysis. -- 4. Systems of Independent Components. -- 5. Component Importance. -- 6. Dependent Failures. -- 7. Counting Processes. -- 8. Markov Models. -- 9. Reliability of Maintained Systems. -- 10. Reliability of Safety Systems. -- 11. Life Data Analysis. -- 12. Accelerated Life Testing. -- 13. Bayesian Reliability Analysis. -- 14. Reliability Data Sources. -- Appendix A. The Gamma and Beta Functions. -- Appendix B. Laplace Transforms. -- Appendix C. Kronecker Products. -- Appendix D. Distribution Theorems.
A comprehensive introduction to reliability analysis. The first section provides a thorough but elementary prologue to reliability theory. The latter half comprises more advanced analytical tools including Markov processes, renewal theory, life data analysis, accelerated life testing and Bayesian reliability analysis. Features numerous worked examples. Each chapter concludes with a selection of problems plus additional material on applications
978-0471471332
2003057631
Reliability (Engineering)--Statistical methods
Engineering
Civil engineering
620/.00452
System reliability theory : models, statistical methods, and applications Marvin Rausand, Arnljot Høyland - 2nd ed. - Hoboken, NJ : Wiley-Interscience, c2004. - xix, 636 p. : ill. ; 24 cm. - Wiley series in probability and statistics. Applied probability and statistics .
Høyland's name appears first on the earlier edition.
1. Introduction. -- 2. Failure Models. -- 3. Qualitative Systems Analysis. -- 4. Systems of Independent Components. -- 5. Component Importance. -- 6. Dependent Failures. -- 7. Counting Processes. -- 8. Markov Models. -- 9. Reliability of Maintained Systems. -- 10. Reliability of Safety Systems. -- 11. Life Data Analysis. -- 12. Accelerated Life Testing. -- 13. Bayesian Reliability Analysis. -- 14. Reliability Data Sources. -- Appendix A. The Gamma and Beta Functions. -- Appendix B. Laplace Transforms. -- Appendix C. Kronecker Products. -- Appendix D. Distribution Theorems.
A comprehensive introduction to reliability analysis. The first section provides a thorough but elementary prologue to reliability theory. The latter half comprises more advanced analytical tools including Markov processes, renewal theory, life data analysis, accelerated life testing and Bayesian reliability analysis. Features numerous worked examples. Each chapter concludes with a selection of problems plus additional material on applications
978-0471471332
2003057631
Reliability (Engineering)--Statistical methods
Engineering
Civil engineering
620/.00452