Bayesian Estimation of the Generalized Power Weibull Distribution Parameters Based on Progressive Censoring Schemes

I n this paper, we discussed the method of obtaining the optimal type-II progressive censoring schemes. We compared between Bayesian estimations of loss function binary, square error, Entropy loss function and linex loss function for the shape  parameters  and  of the generalized power Weibull (GPW) distribution based on progressive type-II censoring scheme. This comparison was done by using simulation study and application on real life of data.