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Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/124617
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dc.contributor.authorKaragöz, Derya-
dc.contributor.authorKoyuncu, Nursel-
dc.date.accessioned2024-07-15T08:12:02Z-
dc.date.available2024-07-15T08:12:02Z-
dc.date.issued2019-
dc.identifier.citationKaragöz, D., & Koyuncu, N. (2019). Ranked set sampling designs for monitoring the skew-normal process. İstatistikçiler Dergisi: İstatistik ve Aktüerya, 12(1), 1-14.en_GB
dc.identifier.issn13080539-
dc.identifier.urihttps://www.um.edu.mt/library/oar/handle/123456789/124617-
dc.description.abstractIn this study, we have proposed to use various ranked set sampling designs to construct the mean charts based on Shewhart, weighted variance and skewness correction methods that are applied to monitor the process variability under the skew-normal process. The performance of the mean charts based on various ranked set sampling designs are compared with simple random sampling by Monte Carlo simulation. Simulation results revealed that the mean charts based on various ranked set sampling perform much better than simple random sampling.en_GB
dc.language.isoenen_GB
dc.publisherActuarial Societyen_GB
dc.rightsinfo:eu-repo/semantics/openAccessen_GB
dc.subjectAnalysis of variance -- Mathematical modelsen_GB
dc.subjectDistribution (Probability theory)en_GB
dc.subjectProcess control -- Statistical methodsen_GB
dc.subjectQuality control -- Statistical methodsen_GB
dc.subjectMonte Carlo methoden_GB
dc.titleRanked set sampling designs for monitoring the skew-normal processen_GB
dc.title.alternativeÇarpık-normal sürecin izlenmesi için sıralı küme örnekleme tasarımlarıen_GB
dc.typearticleen_GB
dc.rights.holderThe copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder.en_GB
dc.description.reviewedpeer-revieweden_GB
dc.publication.titleİstatistikçiler Dergisi: İstatistik ve Aktüeryaen_GB
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