Buscar
Mostrando ítems 1-10 de 204
Monitoring bivariate and trivariate mean vectors with a Shewhart chart
(Wiley-Blackwell, 2017-12-01)
In this article, we propose the use of the mean chart to control multivariate processes. The basic idea is to control the mean vector of bivariate (X, Y) and trivariate (X, Y, Z) processes by alternating the charting ...
Monitoring bivariate and trivariate mean vectors with a Shewhart chart
(2017-12-01)
In this article, we propose the use of the mean chart to control multivariate processes. The basic idea is to control the mean vector of bivariate (X, Y) and trivariate (X, Y, Z) processes by alternating the charting ...
The S chart with variable charting statistic to control bi and trivariate processes
(2017-11-01)
In this article, we propose the S chart with variable charting statistic to control the covariance matrix as an alternative to the use of the bivariate |S| chart and the trivariate VMAX chart. As usual, samples are regularly ...
The Shewhart attribute chart with alternated charting statistics to monitor bivariate and trivariate mean vectors
(2018-08-01)
In this article, we combined the Alternated Charting Statistic (ACS) scheme with the traditional attribute np chart to control mean vectors of bivariate and trivariate normal processes. With the bivariate ACS scheme in use ...
Control charts for monitoring the mean vector and the covariance matrix of bivariate processes
(Springer London Ltd, 2009-12-01)
In this article, we propose new control charts for monitoring the mean vector and the covariance matrix of bivariate processes. The traditional tools used for this purpose are the T (2) and the |S| charts. However, these ...
Control charts for monitoring the mean vector and the covariance matrix of bivariate processes
(Springer London Ltd, 2009-12-01)
In this article, we propose new control charts for monitoring the mean vector and the covariance matrix of bivariate processes. The traditional tools used for this purpose are the T (2) and the |S| charts. However, these ...
Monitoring process mean and variability with one non-central chi-square chart
(Carfax Publishing, 2004-12-01)
Traditionally, an (X) over bar -chart is used to control the process mean and an R-chart to control the process variance. However, these charts are not sensitive to small changes in process parameters. A good alternative ...
Monitoring process mean and variability with one non-central chi-square chart
(Carfax Publishing, 2004-12-01)
Traditionally, an (X) over bar -chart is used to control the process mean and an R-chart to control the process variance. However, these charts are not sensitive to small changes in process parameters. A good alternative ...
Monitoring process mean and variability with one non-central chi-square chart
(Carfax Publishing, 2014)
Control charts for monitoring the mean vector and the covariance matrix of bivariate processes
(Springer London Ltd, 2014)