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dc.contributor.authorWaliporn Tapangen_US
dc.contributor.authorAdisak Pongpullponsaken_US
dc.date.accessioned2019-05-07T09:57:18Z-
dc.date.available2019-05-07T09:57:18Z-
dc.date.issued2016en_US
dc.identifier.issn0125-2526en_US
dc.identifier.urihttp://it.science.cmu.ac.th/ejournal/dl.php?journal_id=7079en_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/63787-
dc.description.abstractIn this study, the ranked set sampling (RSS) is applied to the three nonparametric control charts: the Mann – Whitney statistics (U-chart), the Wilcoxon rank sum test (W – chart) and the Hodges - Lehmann estimator (HL – chart) in order to reduce bias in sampling procedure. The data are generated from normal distribution, uniform distribution, and 11 shapes of Weibull distributions with the process mean shift in d times of standard deviation (d = 0.50, 1, 1.5, 2, 2.5, and 3). The results show that the in control average run length (ARL) of the three control charts with RSS are higher than the Shewhart X bar chart at +/-3 standard deviation control limits. When the shift occurs, the out of control ARL of HL – chart is the lowest in every mean shift.en_US
dc.languageEngen_US
dc.publisherScience Faculty of Chiang Mai Universityen_US
dc.titleThree Non - parametric Control Charts Based on Ranked Set Samplingen_US
dc.typeบทความวารสารen_US
article.title.sourcetitleChiang Mai Journal of Scienceen_US
article.volume43en_US
article.stream.affiliationsDepartment of Mathematics, Faculty of Science, King Mongkut’s University of Technology Thonburi, Bangkok 10140, Thailand.en_US
Appears in Collections:CMUL: Journal Articles

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