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Uncertainty-based sampling plans for various statistical distributions
Ali Hussein Al-Marshadi , Gadde Srinivasa Rao , Muhammad Aslam , Nasrullah Khan , Rehan Ahmad Khan Sherwani
Mathematics / Probability & Statistics / Multivariate Analysis
This research work appertains to the acceptance sampling plan under the neutrosophic statistical interval method (ASP-NSIM) based on gamma distribution (GD), Burr type XII distribution (BXIID) and the Birnbaum-Saunders distribution (BSD). The plan parameters will be determined using the neutrosophic non-linear optimization problem. We will provide numerous tables for the three distributions using various values of shape parameters and degree of indeterminacy. The efficiency of the proposed ASP-NSIM will be discussed over the existing sampling plan in terms of sample size. The application of the proposed ASP-NSIM will be given with the aid of industrial data.
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