A new process monitoring scheme is proposed by using the Storey procedure for controlling the positive false discovery rate in multiple testing. For the 2-span control scheme, it is shown numerically that the proposed method performs better than X-bar chart in terms of the average run length. Some simulations are accomplished to evaluate the performance of the proposed scheme in terms of the average run length and the conditional expected delay. The results are compared with those of the existing monitoring schemes including the X-bar chart. The false discovery rate is also estimated and compared with the target control level.X1187sciescopu
Popular procedures to control the chance of making type I errors when multiple statistical tests are...
In multiple testing, a variety of control metrics have been introduced such as the family-wise error...
The linear step-up multiple testing procedure controls the false discovery rate at the desired level...
DoctorAs a fundamental key of process improvement, control chart for statistical process control can...
Most statistical process control research focuses on single-stage processes. This article considers ...
In this paper, a two stage control chart for monitoring the defective rate of high-yield processes i...
With the development of computer storage and the rapidly growing ability to process large amounts of...
A new control chart is developed by using the exponentially weighted moving average (EWMA) statistic...
The primary objective of this note is to reduce the falsealarms in multivariatestatisticalprocesscon...
The primary objective of this note is to reduce the false alarms in multivariate statistical process...
Controlling false discovery rate (FDR) is a powerful approach to multiple testing. In many applicati...
Popular procedures to control the chance of making type I errors when multiple statistical tests are...
Given the large number of papers written over the last ten years on error controls in high dimension...
MasterWith the development of high-capacity computer storage and the rapidly growing ability to proc...
Finner et al. (2012) provided multiple hypothesis testing procedures based on a nonlinear rejection ...
Popular procedures to control the chance of making type I errors when multiple statistical tests are...
In multiple testing, a variety of control metrics have been introduced such as the family-wise error...
The linear step-up multiple testing procedure controls the false discovery rate at the desired level...
DoctorAs a fundamental key of process improvement, control chart for statistical process control can...
Most statistical process control research focuses on single-stage processes. This article considers ...
In this paper, a two stage control chart for monitoring the defective rate of high-yield processes i...
With the development of computer storage and the rapidly growing ability to process large amounts of...
A new control chart is developed by using the exponentially weighted moving average (EWMA) statistic...
The primary objective of this note is to reduce the falsealarms in multivariatestatisticalprocesscon...
The primary objective of this note is to reduce the false alarms in multivariate statistical process...
Controlling false discovery rate (FDR) is a powerful approach to multiple testing. In many applicati...
Popular procedures to control the chance of making type I errors when multiple statistical tests are...
Given the large number of papers written over the last ten years on error controls in high dimension...
MasterWith the development of high-capacity computer storage and the rapidly growing ability to proc...
Finner et al. (2012) provided multiple hypothesis testing procedures based on a nonlinear rejection ...
Popular procedures to control the chance of making type I errors when multiple statistical tests are...
In multiple testing, a variety of control metrics have been introduced such as the family-wise error...
The linear step-up multiple testing procedure controls the false discovery rate at the desired level...