Add to ORKGThe T-2 and the generalized variance vertical bar S vertical bar charts are used for monitoring the mean vector and the covariance matrix of multivariate processes. In this article, we propose for bivariate processes the use of the T-2 and the VMAX charts. The points plotted on the VMAX chart correspond to the maximum of the sample variances of the two quality characteristics. The reason to consider the VMAX statistic instead of the generalized variance vertical bar S vertical bar is the user's familiarity with the computation of simple sample variances; we can't say the same with regard to the computation of the generalized variance vertical bar S vertical bar
Measures of dispersion in the form of covariance control charts are the multivariate analog to the u...
This paper proposes the joint use of two charts based on the non-central chi-square statistic (NCS s...
Autocorrelated data are common in today's process control applications. Many of these applications i...
The T2 chart and the generalized variance |S| chart are the usual tools for monitoring the mean vect...
In this article, we propose a new statistic to control the covariance matrix of bivariate processes....
The T² chart and the generalized variance |S| chart are the usual tools for monitoring the mean vect...
In this article, we propose a new statistic to control the covariance matrix of bivariate processes....
In this article, we present a new control chart for monitoring the covariance matrix in a bivariate ...
In this article, we propose new control charts for monitoring the mean vector and the covariance mat...
In this article, we present a new control chart for monitoring the covariance matrix in a bivariate ...
In this article, we propose a control chart for detecting shifts in the covariance matrix of a multi...
In this article we consider a control chart based on the sample variances of two quality characteris...
This study proposes a combined scheme, denoted as the combined syn-|S| control chart, which comprise...
For the univariate case, the R chart and the S(2) chart are the most common charts used for monitori...
Two generally weighted moving average (GWMA) charts are usually used concurrently for a simultaneou...
Measures of dispersion in the form of covariance control charts are the multivariate analog to the u...
This paper proposes the joint use of two charts based on the non-central chi-square statistic (NCS s...
Autocorrelated data are common in today's process control applications. Many of these applications i...
The T2 chart and the generalized variance |S| chart are the usual tools for monitoring the mean vect...
In this article, we propose a new statistic to control the covariance matrix of bivariate processes....
The T² chart and the generalized variance |S| chart are the usual tools for monitoring the mean vect...
In this article, we propose a new statistic to control the covariance matrix of bivariate processes....
In this article, we present a new control chart for monitoring the covariance matrix in a bivariate ...
In this article, we propose new control charts for monitoring the mean vector and the covariance mat...
In this article, we present a new control chart for monitoring the covariance matrix in a bivariate ...
In this article, we propose a control chart for detecting shifts in the covariance matrix of a multi...
In this article we consider a control chart based on the sample variances of two quality characteris...
This study proposes a combined scheme, denoted as the combined syn-|S| control chart, which comprise...
For the univariate case, the R chart and the S(2) chart are the most common charts used for monitori...
Two generally weighted moving average (GWMA) charts are usually used concurrently for a simultaneou...
Measures of dispersion in the form of covariance control charts are the multivariate analog to the u...
This paper proposes the joint use of two charts based on the non-central chi-square statistic (NCS s...
Autocorrelated data are common in today's process control applications. Many of these applications i...