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doi:10.1016/S0167-9473(02)00330-4 
Copyright © 2002 Elsevier B.V. All rights reserved.
Bayesian sampling plans for exponential distribution based on uniform random censored data
Received 31 March 2001;
accepted 31 October 2002. ;
Available online 23 November 2002.
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Abstract
The problem of a single sampling plan with polynomial loss for the exponential distribution based on uniformly distributed random censored data has been considered. A Bayes sampling plan is derived under various schemes of censoring time. It is specially focused on a quadratic loss and an unit time cost is included in the loss. Some optimal Bayes solutions are tabulated and some numerical comparisons between the proposed plan and a known plan under special loss are also made. It is shown that the optimal solutions of the known plan are not Bayes in general.
Author Keywords: Bayes sampling plan; Exponential population; Uniform random censoring
=0.25, plots of Bayes risk r for various C1 keeping other parameters fixed. 
