Recently, an alternative robust control chart based on a new robust estimator known as minimum vector variance (MVV) estimator, , was introduced in Phase II. was able to detect out-of-control signal and simultaneously control false alarm rate even as the dimension increased.However, the estimated UCLs of are large as compared to the traditional chart.In this study, we improved the MVV estimators in terms of consistency and bias.The result showed great improvement in the control limit values while maintaining its good performance in terms of false alarm and probability of detection
This paper proposed and considered some bivariate control charts to monitor individual observations ...
While researchers and practitioners may seamlessly develop methods of detecting outliers in control ...
The conventional Hotelling’s charts are evidently inefficient as it has resulted in disorganized da...
The performance of traditional Hotelling T2 control chart using classical estimators in Phase I suff...
Hotelling T² control chart is an effective tool in statistical process control for multivariate envi...
The performance of traditional Hotelling T2 control chart using classical estimators in Phase I suff...
Control chart is a statistical process control tool that is used to monitor the changes in a process...
A Hotelling T 2 control chart has been widely used for monitoring first phase of multivariate statis...
Hotelling's T2 chart is one of the most popular multivariate control charts for monitoring independe...
In real life, usually more than one important quality characteristic of a products and services are ...
Hotelling’s T² chart is a popular tool for monitoring statistical process control. However, this cha...
A Hotelling 2T control chart has been widely used for monitoring first phase of multivariate statist...
For product manufacturing, control charts are important tools. Different types of control charts are...
Multivariate Exponential Weighted Moving Average (MEWMA) control chart is a popular statistical tool...
This paper proposed new adjusted Hotelling’s T^2 control chart for individual observations. For this...
This paper proposed and considered some bivariate control charts to monitor individual observations ...
While researchers and practitioners may seamlessly develop methods of detecting outliers in control ...
The conventional Hotelling’s charts are evidently inefficient as it has resulted in disorganized da...
The performance of traditional Hotelling T2 control chart using classical estimators in Phase I suff...
Hotelling T² control chart is an effective tool in statistical process control for multivariate envi...
The performance of traditional Hotelling T2 control chart using classical estimators in Phase I suff...
Control chart is a statistical process control tool that is used to monitor the changes in a process...
A Hotelling T 2 control chart has been widely used for monitoring first phase of multivariate statis...
Hotelling's T2 chart is one of the most popular multivariate control charts for monitoring independe...
In real life, usually more than one important quality characteristic of a products and services are ...
Hotelling’s T² chart is a popular tool for monitoring statistical process control. However, this cha...
A Hotelling 2T control chart has been widely used for monitoring first phase of multivariate statist...
For product manufacturing, control charts are important tools. Different types of control charts are...
Multivariate Exponential Weighted Moving Average (MEWMA) control chart is a popular statistical tool...
This paper proposed new adjusted Hotelling’s T^2 control chart for individual observations. For this...
This paper proposed and considered some bivariate control charts to monitor individual observations ...
While researchers and practitioners may seamlessly develop methods of detecting outliers in control ...
The conventional Hotelling’s charts are evidently inefficient as it has resulted in disorganized da...