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Reliability Modelling and Estimation

  • Martin Newby
Chapter
  • 165 Downloads
Part of the Topics in Safety, Reliability and Quality book series (TSRX, volume 1)

Abstract

Some simple models for the analysis of data from non-repairable systems are described and applied in some reliability and failure rate estimation problems. The analyses are used to illustrate the Bayesian approach to estimation. The importance of the link between the likelihood, prior and posterior is emphasised and examples are given to show the influence of the prior and the likelihood on the estimators obtained from the posterior density.

Keywords

Hazard Rate Failure Time Posterior Density Residual Life Prior Density 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. Cox, D.R. & Lewis, P.A. (1978), The Statistical Analysis of Series of Events, Chapman and Hall, London.Google Scholar
  2. Littlewood, B. & Verrall, J. (1973), A Bayesian reliability growth model for computer software, Applied Statistics, 22, 332–246.MathSciNetCrossRefGoogle Scholar
  3. Mann, N.R., Schafer, R.E. & Singpurwalla, N.D. (1974), Methods for the Statistical Analysis of Reliability and Life Data, John Wiley, New York.Google Scholar
  4. Martz, H.J. & Waller, R.A. (1982), Bayesian Reliability Analysis, John Wiley, New York.zbMATHGoogle Scholar

Copyright information

© Springer Science+Business Media Dordrecht 1991

Authors and Affiliations

  • Martin Newby
    • 1
  1. 1.Faculty of Industrial Engineering and Management ScienceUniversity of TechnologyEindhovenThe Netherlands

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