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Planning simple step-stress accelerated life tests using reference optimality criterion

Author

Listed:
  • Ancha Xu
  • Yincai Tang
  • Qiang Guan
  • Xinze Lian

Abstract

A reference optimality criterion has been proposed by Xu and Tang based on the expected Kullback–Leibler divergence between the posterior and the prior distributions of the parameters of interest. In this paper, we use the reference optimality criterion to plan simple step-stress accelerated life tests for log-location-scale distributions. Monte Carlo algorithms are developed to find the optimal plans. Effects of the priors on the optimal plans are also investigated. Results indicate that the optimal Bayesian plans are robust to the choice of the priors.

Suggested Citation

  • Ancha Xu & Yincai Tang & Qiang Guan & Xinze Lian, 2016. "Planning simple step-stress accelerated life tests using reference optimality criterion," Journal of Risk and Reliability, , vol. 230(1), pages 85-92, February.
    • Handle: RePEc:sae:risrel:v:230:y:2016:i:1:p:85-92
    DOI: 10.1177/1748006X15580469
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