AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
PDF (964.4 KB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Research Article | Open Access

Uncertainty-based sampling plans for various statistical distributions

Nasrullah Khan1Gadde Srinivasa Rao2Rehan Ahmad Khan Sherwani1Ali Hussein AL-Marshadi3Muhammad Aslam3( )
College of Statistical Sciences, University of the Punjab Lahore, Pakistan
Department of Mathematics and Statistics, CNMS, The University of Dodoma, Dodoma, P.O. Box: 259, Tanzania
Department of Statistics, Faculty of Science, King Abdulaziz University, Jeddah 21551, Saudi Arabia
Show Author Information

Abstract

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.

CLC number: 62A86

References

【1】
【1】
 
 
AIMS Mathematics
Pages 14558-14571

{{item.num}}

Comments on this article

Go to comment

< Back to all reports

Review Status: {{reviewData.commendedNum}} Commended , {{reviewData.revisionRequiredNum}} Revision Required , {{reviewData.notCommendedNum}} Not Commended Under Peer Review

Review Comment

Close
Close
Cite this article:
Khan N, Rao GS, Sherwani RAK, et al. Uncertainty-based sampling plans for various statistical distributions. AIMS Mathematics, 2023, 8(6): 14558-14571. https://doi.org/10.3934/math.2023744

71

Views

6

Downloads

1

Crossref

2

Web of Science

2

Scopus

Received: 08 November 2022
Revised: 28 February 2023
Accepted: 22 March 2023
Published: 15 June 2023
©2023 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0)