Uncertainty-based sampling plans for various statistical distributions-Reference-Cited by-同舟云学术

Uncertainty-based sampling plans for various statistical distributions

Published:2023 Issue:6 Volume:8 Page:14558-14571
ISSN:2473-6988
Container-title:AIMS Mathematics
language:
Short-container-title:MATH

Author:

Khan Nasrullah¹,Rao Gadde Srinivasa²,Sherwani Rehan Ahmad Khan¹,AL-Marshadi Ali Hussein³,Aslam Muhammad³

Affiliation:

1. College of Statistical Sciences, University of the Punjab Lahore, Pakistan

2. Department of Mathematics and Statistics, CNMS, The University of Dodoma, Dodoma, P.O. Box: 259, Tanzania

3. Department of Statistics, Faculty of Science, King Abdulaziz University, Jeddah 21551, Saudi Arabia

Abstract

<abstract><p>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.</p></abstract>

Publisher

American Institute of Mathematical Sciences (AIMS)

Subject

General Mathematics

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