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dc.contributor.author강창욱-
dc.date.accessioned2019-06-11T06:34:07Z-
dc.date.available2019-06-11T06:34:07Z-
dc.date.issued2007-04-
dc.identifier.citationJOURNAL OF QUALITY TECHNOLOGY, v. 39, No. 2, Page. 151-158en_US
dc.identifier.issn0022-4065-
dc.identifier.urihttps://www.tandfonline.com/doi/abs/10.1080/00224065.2007.11917682-
dc.identifier.urihttps://repository.hanyang.ac.kr/handle/20.500.11754/106424-
dc.description.abstractMonitoring variability is a vital part of modern statistical process control. The conventional Shewhart R and S charts address the setting where the in-control process readings have a constant variance. In some settings, however, it is the coefficient of variation, rather than the variance, that should be constant. For example, this setting is common in clinical chemistry, and then conventional R and S charts cannot be used. This paper develops a chart, equivalent to the S chart, for monitoring the coefficient of variation using rational groups of observations.en_US
dc.language.isoen_USen_US
dc.publisherAMER SOC QUALITY CONTROL-ASQCen_US
dc.subjectClinical Chemistryen_US
dc.subjectProcess Variabilityen_US
dc.subjectStatistical Process Controlen_US
dc.titleA Control Chart for the Coefficient of Variationen_US
dc.typeArticleen_US
dc.identifier.doi10.1080/00224065.2007.11917682-
dc.relation.journalJOURNAL OF QUALITY TECHNOLOGY-
dc.contributor.googleauthorKang, C.W.-
dc.contributor.googleauthorLee, M.S.-
dc.contributor.googleauthorSeong, Y.J.-
dc.contributor.googleauthorHawkins, D.M.-
dc.relation.code2007205730-
dc.sector.campusE-
dc.sector.daehakCOLLEGE OF ENGINEERING SCIENCES[E]-
dc.sector.departmentDEPARTMENT OF INDUSTRIAL AND MANAGEMENT ENGINEERING-
dc.identifier.pidcwkang57-
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COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > INDUSTRIAL AND MANAGEMENT ENGINEERING(산업경영공학과) > Articles
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