Khoo, Michael B. C. and Atta, Abdu M. A. (2008) An EWMA control chart for monitoring the mean of skewed populations using weighted variance. In: IEEE International Conference on Industrial Engineering and Engineering Management 2008 (IEEM 2008), 8-11 Dec. 2008, Singapore.
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Abstract
This paper discusses the use of weighted variance (WV) in setting up the limits of the exponentially weighted moving average (EWMA) chart for the monitoring of the mean of a process from a skewed population. This chart, called the WV-EWMA chart hereafter, reduces to the standard EWMA chart when the underlying distribution is symmetric.The Type-I and Type-II errors of the WV-EWMA chart are compared with that of the existing charts for skewed populations. Simulation results show that the new method gives a considerable improvement over the existing methods when the underlying distribution is skewed.
Item Type: | Conference or Workshop Item (Paper) |
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Additional Information: | ISBN:978-1-4244-2630-0/08 |
Uncontrolled Keywords: | EWMA chart, X chart, skewed populations, Type-I error, Type-If error, weighted variance, weighted standard deviation, skewness correction |
Subjects: | Q Science > QA Mathematics |
Divisions: | College of Arts and Sciences |
Depositing User: | Dr. Abdu Mohammed Ali Atta |
Date Deposited: | 09 Jul 2015 04:34 |
Last Modified: | 09 Jul 2015 04:34 |
URI: | https://repo.uum.edu.my/id/eprint/14767 |
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