Monitoring the covariance matrix with the VMAX chart


Autoria(s): Machado, Marcela A. G.; Costa, Antonio F. B.; Pham, H; Nakagawa, T
Contribuinte(s)

Universidade Estadual Paulista (UNESP)

Data(s)

20/05/2014

20/05/2014

01/01/2008

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