Two-sided sampling plan for exponential distribution under type II censored samples

Abstract

Acceptance sampling plan paid the attention of many researchers in the last few years, their works focused basically on Bayesian sampling plans under one-sided decision function and different forms of censoring. In the present paper, a single variable sampling plan for exponential distribution based on type II censored samples under random decision function is developed. For a polynomial loss function, an explicit expression for the Bayes risk is determined. To obtain an approximation for the optimal sampling plan, a simple algorithm based on a discretization method is presented. Finally, an illustrative example and a simulation study followed by extensive tables for the proposed sampling plan are provided.

Marshall-Olkin Bilal distribution with associated minification process and acceptance sampling plans

“…The real data modelling shows that ASP with respect to the proposed model is better than the existing model in the literature. Using the works done in [8], [14], [16] and [23], we look forward to extending the sampling plans of the proposed model with respect to neutrosophic statistics.…”