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dc.contributor.authorKaragoz, Derya
dc.date.accessioned2021-06-09T06:05:40Z
dc.date.available2021-06-09T06:05:40Z
dc.date.issued2019
dc.identifier.issn1303-5991
dc.identifier.urihttp://dx.doi.org/10.31801/cfsuasmas.530462
dc.identifier.urihttp://hdl.handle.net/11655/24833
dc.description.abstractA Shewhart chart based on normality assumption is not appropriate for skewed distributions since its Type-I error rate is inflated. This study presents (X) over bar and S control charts for monitoring the process variability for skewed distributions. We propose Weighted Standard Deviation (WSD) (X) over bar and S control charts. Standard deviation estimator is applied to monitor the process variability for estimating the process standard deviation, in the case of the WSD (X) over bar and S control charts as this estimator is simple and easy to compute. Unlike the Shewhart control chart, the proposed charts provide asymmetric limits in accordance with the direction and degree of skewness to construct the upper and lower limits. The performances of the proposed charts are compared with other heuristic charts for skewed distributions by using Simulation study. The Simulation studies show that the proposed control charts have good properties for skewed distributions and large sample sizes.
dc.language.isoen
dc.relation.isversionof10.31801/cfsuasmas.530462
dc.rightsAttribution 4.0 United States
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject(X)over-bar and S control charts
dc.subjectlognormal distributions
dc.subjectWeighted standard deviation
dc.titleWeighted Standard Deviation Method For (X)Over-Bar And S Control Charts
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.relation.journalCommunications Faculty Of Sciences University Of Ankara-Series A1 Mathematics And Statistics
dc.contributor.departmentİstatistik
dc.identifier.volume68
dc.identifier.issue2
dc.description.indexWoS


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