The Institute for Integrating Statistics in Decision Sciences
نویسنده
چکیده
In this article we present the Bayesian decision theoretic setup for design of accelerated life tests. We review some of the key contributions to the Bayesian design of accelerated life tests. In so doing, we discuss approximate Bayesian designs based on linear Bayesian methods and Monte Carlo based methods. We consider computational issues regarding the evaluation of expectation and optimization steps in the solution of the decision problem and discuss some recent Monte Carlo approaches that can reduce the computational effort in the design problem.
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