| You are in:Home/Publications/COMPARISON OF MULTIVARIATE EXPONENTIALLY WEIGHTED MOVING AVERAGE AND GENERALIZED VARIANCE |S| PROCEDURES WITH INDUSTRIAL APPLICATION | |
Dr. Mohamed Sewalim El-sayed Hamed :: Publications: |
|
| Title: | COMPARISON OF MULTIVARIATE EXPONENTIALLY WEIGHTED MOVING
AVERAGE AND GENERALIZED VARIANCE |S| PROCEDURES
WITH INDUSTRIAL APPLICATION |
| Authors: | Mohamed Hamed |
| Year: | 2018 |
| Keywords: | Average Run Length Performance, Monitoring Process, Multivariate Statistical Analysis, Quality Control |
| Journal: | International Journal of Applied Mathematics |
| Volume: | 7 |
| Issue: | 5 |
| Pages: | 19-28 |
| Publisher: | International Academy of Science, Engineering and Technology |
| Local/International: | International |
| Paper Link: | |
| Full paper | Mohamed Sewalim Elsayed Hamed_COMPARISON_OF_MULTIVARIATE_EXPONENTIALLY.pdf |
| Supplementary materials | Not Available |
| Abstract: |
In this paper, comparing between two procedures: Multivariate Exponentially Weighted Moving Average (MEWMA) quality control chart and Generalized Variance || quality control chart. The first procedure MEWMA is an example of a multivariate charting scheme whose monitoring statistic is unable to determine which variable caused the signal. The second procedure is a Generalized Variance || quality control chart for the multivariate process, it is a very powerful way to detect small shifts in the mean vector. Generalized variance chart allows us to simultaneously monitor whether the joint variability of two or more related variables is in control. In addition, this paper provides a comparison between MEWMA and generalized variance |S| multivariate control chart procedures by application with real data. |
