Bayesian Sampling Plan for Weibull Distribution with Type II Hybrid Censoring under Random Decision Function

Accepted: August 2022

Abstract

This article studies the problem of conception of a Bayesian single variable sampling plan for Weibull distribution under type II hybrid censoring based on two-sided decision function with a linear random doubt zone. Based on an appropriate loss function, an explicit expression for the Bayes risk is determined. To find the optimal sampling plans, a simple algorithm based on the grid search method is described. Finally, simulation study is given to illustrate the proposed model.