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Practical Problems in the Statistical Analysis of Reliability Data

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  • J. I. Ansell
  • M. J. Phillips

Abstract

Three examples of reliability data sets are discussed. Stochastic process models are used to describe repairable systems. The problems encountered in the analysis of failure time data are considered in particular when censoring is an important feature. Finally the assessment of system reliability is investigated by prediction of the renewal function.

Suggested Citation

  • J. I. Ansell & M. J. Phillips, 1989. "Practical Problems in the Statistical Analysis of Reliability Data," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 38(2), pages 205-231, June.
    • Handle: RePEc:bla:jorssc:v:38:y:1989:i:2:p:205-231
    DOI: 10.2307/2348057
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    Cited by:

    1. Carlos Parra & Adolfo Crespo & Fredy Kristjanpoller & Pablo Viveros, 2012. "Stochastic model of reliability for use in the evaluation of the economic impact of a failure using life cycle cost analysis. Case studies on the rail freight and oil industries," Journal of Risk and Reliability, , vol. 226(4), pages 392-405, August.
    2. Barabadi, A. & Ayele, Y.Z., 2018. "Post-disaster infrastructure recovery: Prediction of recovery rate using historical data," Reliability Engineering and System Safety, Elsevier, vol. 169(C), pages 209-223.
    3. Louit, D.M. & Pascual, R. & Jardine, A.K.S., 2009. "A practical procedure for the selection of time-to-failure models based on the assessment of trends in maintenance data," Reliability Engineering and System Safety, Elsevier, vol. 94(10), pages 1618-1628.

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