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Cited 12 time in webofscience Cited 11 time in scopus
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dc.contributor.authorSang-Ho Lee-
dc.contributor.authorJun, CH-
dc.date.accessioned2016-03-31T08:38:48Z-
dc.date.available2016-03-31T08:38:48Z-
dc.date.created2013-03-25-
dc.date.issued2012-11-01-
dc.identifier.issn0361-0918-
dc.identifier.other2012-OAK-0000027177-
dc.identifier.urihttps://oasis.postech.ac.kr/handle/2014.oak/15732-
dc.description.abstractA new process monitoring scheme is proposed by using the Storey procedure for controlling the positive false discovery rate in multiple testing. For the 2-span control scheme, it is shown numerically that the proposed method performs better than X-bar chart in terms of the average run length. Some simulations are accomplished to evaluate the performance of the proposed scheme in terms of the average run length and the conditional expected delay. The results are compared with those of the existing monitoring schemes including the X-bar chart. The false discovery rate is also estimated and compared with the target control level.-
dc.description.statementofresponsibilityX-
dc.languageEnglish-
dc.publisherTaylor & Francis-
dc.relation.isPartOfCommunications in Statistics-Simulation and Computation-
dc.subjectAverage run length-
dc.subjectConditional expected delay-
dc.subjectFalse discovery rate-
dc.subjectX-bar chart-
dc.subjectHEALTH-
dc.titleA Process Monitoring Scheme Controlling False Discovery Rate-
dc.typeArticle-
dc.contributor.college산업경영공학과-
dc.identifier.doi10.1080/03610918.2011.625483-
dc.author.googleLee, SH-
dc.author.googleJun, CH-
dc.relation.volume41-
dc.relation.issue10-
dc.relation.startpage1912-
dc.relation.lastpage1920-
dc.contributor.id10070938-
dc.relation.journalCommunications in Statistics-Simulation and Computation-
dc.relation.indexSCI급, SCOPUS 등재논문-
dc.relation.sciSCI-
dc.collections.nameJournal Papers-
dc.type.rimsART-
dc.identifier.bibliographicCitationCommunications in Statistics-Simulation and Computation, v.41, no.10, pp.1912 - 1920-
dc.identifier.wosid000315225700013-
dc.date.tcdate2019-01-01-
dc.citation.endPage1920-
dc.citation.number10-
dc.citation.startPage1912-
dc.citation.titleCommunications in Statistics-Simulation and Computation-
dc.citation.volume41-
dc.contributor.affiliatedAuthorJun, CH-
dc.identifier.scopusid2-s2.0-84862856432-
dc.description.journalClass1-
dc.description.journalClass1-
dc.description.wostc8-
dc.description.scptc7*
dc.date.scptcdate2018-05-121*
dc.type.docTypeArticle-
dc.subject.keywordAuthorAverage run length-
dc.subject.keywordAuthorConditional expected delay-
dc.subject.keywordAuthorFalse discovery rate-
dc.subject.keywordAuthorX-bar chart-
dc.relation.journalWebOfScienceCategoryStatistics & Probability-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaMathematics-

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전치혁JUN, CHI HYUCK
Dept of Industrial & Management Enginrg
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