Bootstrap confidence intervals of CNpk for inverse Rayleigh and log-logistic distributions

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dc.contributor.authorRao, G. S
dc.contributor.authorAslam, Muhammad
dc.contributor.authorKantam, R. R. L
dc.date.accessioned2020-11-25T07:46:43Z
dc.date.available2020-11-25T07:46:43Z
dc.date.issued2016
dc.descriptionAbstract. Full text available at https://doi.org/10.1080/00949655.2015.1040799en_US
dc.description.abstractIn this article bootstrap confidence intervals of process capability index as suggested by Chen and Pearn [An application of non-normal process capability indices. Qual Reliab Eng Int. 1997;13:355–360] are studied through simulation when the underlying distributions are inverse Rayleigh and log-logistic distributions. The well-known maximum likelihood estimator is used to estimate the parameter. The bootstrap confidence intervals considered in this paper consists of various confidence intervals. A Monte Carlo simulation has been used to investigate the estimated coverage probabilities and average widths of the bootstrap confidence intervals. Application examples on two distributions for process capability indices are provided for practical use.en_US
dc.identifier.citationRao, G. S., Aslam, M., & Kantam, R. R. L. (2016). Bootstrap confidence intervals of C Npk for inverse Rayleigh and log-logistic distributions. Journal of Statistical Computation and Simulation, 86(5), 862-873.en_US
dc.identifier.otherDOI: 10.1080/00949655.2015.1040799
dc.identifier.urihttp://hdl.handle.net/20.500.12661/2603
dc.language.isoenen_US
dc.publisherTaylor & Francisen_US
dc.subjectLog-logistic distributionen_US
dc.subjectRayleigh distributionen_US
dc.subjectConfidence intervalen_US
dc.subjectBootstrap confidence intervalsen_US
dc.subjectMaximum likelihood estimateen_US
dc.subjectML estimateen_US
dc.subjectProcess capability indexen_US
dc.subjectCNpken_US
dc.subjectInverse rayleigh distributionen_US
dc.titleBootstrap confidence intervals of CNpk for inverse Rayleigh and log-logistic distributionsen_US
dc.typeArticleen_US
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