Monitoring the covariance matrix with the VMAX chart

dc.contributorUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-05-20T15:32:27Z
dc.date.available2014-05-20T15:32:27Z
dc.date.created2014-05-20T15:32:27Z
dc.date.issued2008-01-01
dc.identifier14th Issat International Conference on Reliability and Quality In Design, Proceedings. Piscataway: Int Soc Sci Appl Technol, p. 100-104, 2008.
dc.identifierhttp://hdl.handle.net/11449/41353
dc.identifierWOS:000260092000021
dc.description.abstractIn this article, we propose a new statistic to control the covariance matrix of bivariate processes. This new statistic is based on the sample vat-lances of the two quality characteristics, shortly VMAX statistic. The points plotted on the chart correspond to the maximum of the values of these two variances. The reasons to consider the VMAX statistic instead of the generalized variance vertical bar S vertical bar are faster detection of process changes and better diagnostic feature, that is, with the VMAX statistic It is easier to identify the out-of-control variable.
dc.languageeng
dc.publisherInt Soc Sci Appl Technol
dc.relation14th Issat International Conference on Reliability and Quality In Design, Proceedings
dc.rightsAcesso aberto
dc.sourceWeb of Science
dc.subjectControl charts
dc.subjectCovariance matrix
dc.subjectGeneralized variance
dc.titleMonitoring the covariance matrix with the VMAX chart
dc.typeActas de congresos


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