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

dc.creatorRao, Gadde Srinivasa
dc.creatorJilani, S. D.
dc.creatorRao, A. Vasudeva
dc.date2022-03-04T06:57:12Z
dc.date2022-03-04T06:57:12Z
dc.date2021
dc.date.accessioned2022-10-20T13:25:33Z
dc.date.available2022-10-20T13:25:33Z
dc.descriptionAbstract. Full text available at https://link.springer.com/article/10.1007/s13198-021-01338-x
dc.descriptionIn 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.identifierRao, 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(6), 1397-1409.
dc.identifierURL: https://link.springer.com/article/10.1007/s13198-021-01338-x
dc.identifierhttp://hdl.handle.net/20.500.12661/3437
dc.identifier.urihttp://hdl.handle.net/20.500.12661/3437
dc.languageen
dc.publisherSpringer Nature
dc.subjectMultiple Dependent State Repetitive
dc.subjectMDSR
dc.subjectLogistic distribution
dc.subjectType-II generalized half logistic distribution
dc.subjectTGHLD
dc.subjectSampling plan
dc.titleDesigning of multiple dependent state repetitive sampling plan for type-II generalized half logistic distribution
dc.typeArticle

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