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

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dc.creator Rao, G. S
dc.creator Aslam, Muhammad
dc.creator Kantam, R. R. L
dc.date 2020-11-25T07:46:43Z
dc.date 2020-11-25T07:46:43Z
dc.date 2016
dc.date.accessioned 2022-10-20T13:09:18Z
dc.date.available 2022-10-20T13:09:18Z
dc.identifier Rao, 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.
dc.identifier DOI: 10.1080/00949655.2015.1040799
dc.identifier http://hdl.handle.net/20.500.12661/2603
dc.identifier.uri http://hdl.handle.net/20.500.12661/2603
dc.description Abstract. Full text available at https://doi.org/10.1080/00949655.2015.1040799
dc.description In 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.
dc.language en
dc.publisher Taylor & Francis
dc.subject Log-logistic distribution
dc.subject Rayleigh distribution
dc.subject Confidence interval
dc.subject Bootstrap confidence intervals
dc.subject Maximum likelihood estimate
dc.subject ML estimate
dc.subject Process capability index
dc.subject CNpk
dc.subject Inverse rayleigh distribution
dc.title Bootstrap confidence intervals of CNpk for inverse Rayleigh and log-logistic distributions
dc.type Article


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