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.
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Schedule a callMore From: Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability
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