Uncertainty-based sampling plans for various statistical distributions

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dc.contributor.authorKhan, N. S.
dc.contributor.authorRao, G. S.
dc.contributor.authorSherwani, R. A. K.
dc.contributor.authorHussein, A.
dc.date.accessioned2023-05-23T11:09:00Z
dc.date.available2023-05-23T11:09:00Z
dc.date.issued2023
dc.descriptionFull text Article. Also available at http://www.aimspress.com/article/doi/10.3934/math.2023744en_US
dc.description.abstractThis 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.en_US
dc.identifier.citationKhan, N., Rao, G. S., Sherwani, R. A. K., & Hussein, A. (2023). Uncertainty-based sampling plans for various statistical distributions. AIMS Mathematics, 8(6), 14558-14571.en_US
dc.identifier.otherURL: http://www.aimspress.com/article/doi/10.3934/math.2023744
dc.identifier.urihttp://hdl.handle.net/20.500.12661/3848
dc.language.isoenen_US
dc.publisherAIMS Pressen_US
dc.subjectAcceptance sampling planen_US
dc.subjectProducer’s risken_US
dc.subjectConsumer’s risken_US
dc.subjectNeutrosophic methoden_US
dc.subjectNeutrosophic non-linear optimization problemen_US
dc.subjectStatistical distributionen_US
dc.subjectGamma distributionen_US
dc.subjectBurr type XII distributionen_US
dc.titleUncertainty-based sampling plans for various statistical distributionsen_US
dc.typeArticleen_US
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