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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/41353
Title: 
Monitoring the covariance matrix with the VMAX chart
Author(s): 
Institution: 
Universidade Estadual Paulista (UNESP)
Abstract: 
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.
Issue Date: 
1-Jan-2008
Citation: 
14th Issat International Conference on Reliability and Quality In Design, Proceedings. Piscataway: Int Soc Sci Appl Technol, p. 100-104, 2008.
Time Duration: 
100-104
Publisher: 
Int Soc Sci Appl Technol
Keywords: 
  • Control charts
  • Covariance matrix
  • Generalized variance
URI: 
Access Rights: 
Acesso restrito
Type: 
outro
Source:
http://repositorio.unesp.br/handle/11449/41353
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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