Reliability and risk : a Bayesian perspective / Nozer D. Singpurwalla.
Material type:
Item type | Current library | Call number | Status | Date due | Barcode |
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Mysore University Main Library | Not for loan | EBJW210 |
Includes bibliographical references (pages 349-363) and index.
Reliability and Risk; Contents; Preface; Acknowledgements; 1 Introduction and Overview; 2 The Quantification of Uncertainty; 3 Exchangeability and Indifference; 4 Stochastic Models of Failure; 5 Parametric Failure Data Analysis; 6 Composite Reliability: Signatures; 7 Survival in Dynamic Environments; 8 Point Processes for Event Histories; 9 Non-parametric Bayes Methods in Reliability; 10 Survivability of Co-operative, Competing and Vague Systems; 11 Reliability and Survival in Econometrics and Finance; Appendix A Markov Chain Monté Carlo Simulation.
We all like to know how reliable and how risky certain situations are, and our increasing reliance on technology has led to the need for more precise assessments than ever before. Such precision has resulted in efforts both to sharpen the notions of risk and reliability, and to quantify them.
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