Wellcome

Reliability and risk : a Bayesian perspective / Nozer D. Singpurwalla.

By: Singpurwalla, Nozer DContributor(s): Wiley InterScience (Online service)Material type: TextTextSeries: Wiley series in probability and statisticsPublisher: Chichester, West Sussex, England ; New York : J. Wiley & Sons, [2006]Copyright date: ©2006Description: 1 online resource (xiv, 371 pages) : illustrationsContent type: text Media type: computer Carrier type: online resourceISBN: 9780470060346; 0470060344; 0470060336; 9780470060339Subject(s): Reliability (Engineering) -- Mathematical models | Risk management -- Mathematical models | Bayesian statistical decision theory | Reliability (Engineering) | Fiabilité -- Modèles mathématiques | Gestion du risque -- Modèles mathématiques | Statistique bayésienne | TECHNOLOGY & ENGINEERING -- Engineering (General) | TECHNOLOGY & ENGINEERING -- Reference | Bayesian statistical decision theory | Reliability (Engineering) -- Mathematical models | Risk management -- Mathematical models | Risicoanalyse | Stochastische modellen | Statistische betrouwbaarheidGenre/Form: Electronic books.Additional physical formats: Print version:: Reliability and risk.DDC classification: 620.001/51 LOC classification: TA169 | .S56 2006ebOnline resources: Wiley Online Library
Contents:
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.
Summary: 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.
Item type:
Tags from this library: No tags from this library for this title. Log in to add tags.
Holdings
Item type Current library Call number Status Date due Barcode
Ebooks Ebooks 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.

Print version record.

There are no comments on this title.

to post a comment.

No. of hits (from 9th Mar 12) :

Powered by Koha