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In this paper, we present a Bayesian analysis for the Weibull proportional hazard (PH) model used in step-stress accelerated life testings. The key mathematical and graphical difference between the Weibull

In this paper, we present a Bayesian analysis for the Weibull proportional hazard (PH) model used in step-stress accelerated life testings. The key mathematical and graphical difference between the Weibull cumulative exposure (CE) model and the PH model is illustrated. Compared with the CE model, the PH model provides more flexibility in fitting step-stress testing data and has the attractive mathematical properties of being desirable in the Bayesian framework. A Markov chain Monte Carlo algorithm with adaptive rejection sampling technique is used for posterior inference.

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Date Created
  • 2014-08-01
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  • Text
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    Identifier
    • Digital object identifier: 10.1007/s00362-013-0521-2
    • Identifier Type
      International standard serial number
      Identifier Value
      0932-5026
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    Sha, Naijun, & Pan, Rong (2014). Bayesian analysis for step-stress accelerated life testing using weibull proportional hazard model. STATISTICAL PAPERS, 55(3), 715-726. http://dx.doi.org/10.1007/s00362-013-0521-2

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