Designing of multiple dependent state sampling plan for Type-II generalized half logistic distribution

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dc.contributor.authorJilani, Sd.
dc.contributor.authorRao, Gadde Srinivasa
dc.contributor.authorRao, A. Vasudeva
dc.contributor.editorYilun Shang
dc.date.accessioned2024-08-19T11:59:58Z
dc.date.available2024-08-19T11:59:58Z
dc.date.issued2024
dc.descriptionAbstract. Full text available at https://link.springer.com/article/10.1007/s13198-021-01338-x
dc.description.abstractIn this article, we present a new multiple dependent state repetitive (MDSR) sampling plan for attributes based on consider Type-II generalized half logistic distribution (TGHLD) with known shape parameter is consider here. The optimal parameter of the proposed plan is used to determine the operating characteristic (OC) curve approach using two point’s method. The results are explained with tables. We have made the comparison of proposed design with the usual multiple dependent state (MDS) sampling plans, repetitive acceptance sampling plan (RASP) and single sampling plan (SSP) in Average Sample Number (ASN). The proposed plan is demonstrated with the help of real- life data.
dc.identifier.citationRao, G. S., Jilani, S. D., & Rao, A. V. (2021). Designing of multiple dependent state repetitive sampling plan for type-II generalized half logistic distribution. International Journal of System Assurance Engineering and Management, 12, 1397-1409.
dc.identifier.doi10.1080/27684830.2024.2326706
dc.identifier.otherURL: https://link.springer.com/article/10.1007/s13198-021-01338-x
dc.identifier.urihttps://repository.udom.ac.tz/handle/20.500.12661/4826
dc.language.isoen
dc.publisherInforma UK Limited
dc.relation.ispartofResearch in Mathematics
dc.subjectMultiple dependent state repetitive (MDSR) sampling
dc.subjectType-II generalized half logistic distribution (TGHLD)
dc.subjectOperating characteristic (OC) curve
dc.subjectAverage Sample Number (ASN)
dc.subjectSampling plan comparison
dc.titleDesigning of multiple dependent state sampling plan for Type-II generalized half logistic distribution
dc.typeArticle
oaire.citation.issue1
oaire.citation.volume11
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