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The Synthetic Control Chart Based on Two Sample Variances for Monitoring the Covariance Matrix
(John Wiley & Sons Ltd, 2009-07-01)
In this article, we propose a new statistic to control the covariance matrix of bivariate processes. This new statistic is based on the sample variances of the two quality characteristics, in short VMAX statistic. The ...
A new chart based on sample variances for monitoring the covariance matrix of multivariate processes
(Springer London Ltd, 2009-04-01)
In this article, we propose a control chart for detecting shifts in the covariance matrix of a multivariate process. The monitoring statistic is based on the standardized sample variance of p quality characteristics we ...
A new chart based on sample variances for monitoring the covariance matrix of multivariate processes
(Springer London Ltd, 2009-04-01)
In this article, we propose a control chart for detecting shifts in the covariance matrix of a multivariate process. The monitoring statistic is based on the standardized sample variance of p quality characteristics we ...
The Synthetic Control Chart Based on Two Sample Variances for Monitoring the Covariance Matrix
(John Wiley & Sons Ltd, 2009-07-01)
In this article, we propose a new statistic to control the covariance matrix of bivariate processes. This new statistic is based on the sample variances of the two quality characteristics, in short VMAX statistic. The ...
Monitoring the covariance matrix with the vmax chart
(2008-12-01)
In this article, we propose a new statistic to control the covariance matrix of bivariate processes. This new statistic is based on the sample variances of the two quality characteristics, shortly VMAX statistic. The points ...
Monitoring the covariance matrix with the VMAX chart
(Int Soc Sci Appl Technol, 2008-01-01)
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 ...
A control chart based on sample ranges for monitoring the covariance matrix of the multivariate processes
(Routledge Journals, Taylor & Francis Ltd, 2011-01-01)
For the univariate case, the R chart and the S(2) chart are the most common charts used for monitoring the process dispersion. With the usual sample size of 4 and 5, the R chart is slightly inferior to the S(2) chart in ...
A control chart based on sample ranges for monitoring the covariance matrix of the multivariate processes
(Routledge Journals, Taylor & Francis Ltd, 2011-01-01)
For the univariate case, the R chart and the S(2) chart are the most common charts used for monitoring the process dispersion. With the usual sample size of 4 and 5, the R chart is slightly inferior to the S(2) chart in ...
Monitoring the covariance matrix with the VMAX chart
(Int Soc Sci Appl Technol, 2014)
The double sampling and the EWMA charts based on the sample variances
(Elsevier B.V., 2008-07-01)
We propose a new statistic to control the covariance matrix of bivariate processes. This new statistic is based on the sample variances of the two quality characteristics, in short VMAX statistic. The points plotted on the ...