Sensitivity of the Bayesian Reliability Estimates for the Modified Gumbel Failure Model
نویسندگان
چکیده
The classical Gumbel probability distribution is modified in order to study the failure times of a given system. Bayesian estimates of the reliability function under five different parametric priors and the square error loss are studied. The Bayesian reliability estimate under the non-parametric kernel density prior is compared with those under the parametric priors and numerical computations are given to study their effectiveness.
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