A new acceptance sampling plans based on percentiles for odds exponential log logistic distribution

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dc.creatorRao, G. S
dc.creatorRosaiah, K
dc.creatorKalyani, K
dc.creatorSivakumar, D. C. U
dc.date2020-11-24T14:07:26Z
dc.date2020-11-24T14:07:26Z
dc.date2016
dc.date.accessioned2022-10-20T13:09:18Z
dc.date.available2022-10-20T13:09:18Z
dc.descriptionFull text article. Also available at https://benthamopen.com/ABSTRACT/TOSPJ-7-45
dc.descriptionIn this paper, acceptance sampling plans are developed for the odds exponential log logistic distribution (OELLD) introduced by Rosaiah et al. [1] based on lifetime percentiles when the life test is truncated at a predetermined time. The minimum sample size necessary to ensure the specified lifetime percentile is obtained under a given customer’s risk. The operating characteristic values of the sampling plans as well as the producer’s risk are presented. One example with real data set is also given as an illustration.
dc.identifierRao, G. S., Rosaiah, K., Kalyani, K., & Sivakumar, D. C. U. (2016). A new acceptance sampling plans based on percentiles for odds exponential log logistic distribution. The Open Statistics & Probability Journal, 7(1), 45-52.
dc.identifierDOI: 10.2174/1876527001607010045
dc.identifierhttp://hdl.handle.net/20.500.12661/2588
dc.identifier.urihttp://hdl.handle.net/20.500.12661/2588
dc.languageen
dc.publisherBentham Science Publishers
dc.subjectSampling
dc.subjectAcceptance sampling
dc.subjectOperating characteristic function
dc.subjectProducers risk
dc.subjectTruncated life tests
dc.subjectSampling plans
dc.titleA new acceptance sampling plans based on percentiles for odds exponential log logistic distribution
dc.typeArticle

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