Monitoring the covariance matrix with the VMAX chart
Contribuinte(s) |
Universidade Estadual Paulista (UNESP) |
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Data(s) |
20/05/2014
20/05/2014
01/01/2008
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Resumo |
In 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. |
Formato |
100-104 |
Identificador |
14th Issat International Conference on Reliability and Quality In Design, Proceedings. Piscataway: Int Soc Sci Appl Technol, p. 100-104, 2008. http://hdl.handle.net/11449/41353 WOS:000260092000021 |
Idioma(s) |
eng |
Publicador |
Int Soc Sci Appl Technol |
Relação |
14th Issat International Conference on Reliability and Quality In Design, Proceedings |
Direitos |
closedAccess |
Palavras-Chave | #Control charts #Covariance matrix #Generalized variance |
Tipo |
info:eu-repo/semantics/conferencePaper |