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

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dc.creator Rao, Gadde Srinivasa
dc.creator Jilani, S. D.
dc.creator Rao, A. Vasudeva
dc.date 2022-03-04T06:57:12Z
dc.date 2022-03-04T06:57:12Z
dc.date 2021
dc.date.accessioned 2022-10-20T13:25:33Z
dc.date.available 2022-10-20T13:25:33Z
dc.identifier Rao, 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.identifier URL: https://link.springer.com/article/10.1007/s13198-021-01338-x
dc.identifier http://hdl.handle.net/20.500.12661/3437
dc.identifier.uri http://hdl.handle.net/20.500.12661/3437
dc.description Abstract. Full text available at https://link.springer.com/article/10.1007/s13198-021-01338-x
dc.description In 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.language en
dc.publisher Springer Nature
dc.subject Multiple Dependent State Repetitive
dc.subject MDSR
dc.subject Logistic distribution
dc.subject Type-II generalized half logistic distribution
dc.subject TGHLD
dc.subject Sampling plan
dc.title Designing of multiple dependent state repetitive sampling plan for type-II generalized half logistic distribution
dc.type Article


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