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An EWMA control chart for monitoring the mean of skewed populations using weighted variance

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...

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Main Authors: Khoo, Michael B. C., Atta, Abdu M. A.
Format: Conference or Workshop Item
Language:English
Published: 2008
Subjects:
QA Mathematics
Online Access:http://repo.uum.edu.my/14767/1/27.pdf
http://repo.uum.edu.my/14767/
http://doi.org/10.1109/IEEM.2008.4737863
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spelling my.uum.repo.147672015-07-09T04:34:20Z http://repo.uum.edu.my/14767/ An EWMA control chart for monitoring the mean of skewed populations using weighted variance Khoo, Michael B. C. Atta, Abdu M. A. QA Mathematics 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. 2008 Conference or Workshop Item PeerReviewed application/pdf en http://repo.uum.edu.my/14767/1/27.pdf 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. http://doi.org/10.1109/IEEM.2008.4737863 doi:10.1109/IEEM.2008.4737863
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Institutionali Repository
url_provider http://repo.uum.edu.my/
language English
topic QA Mathematics
spellingShingle QA Mathematics
Khoo, Michael B. C.
Atta, Abdu M. A.
An EWMA control chart for monitoring the mean of skewed populations using weighted variance
description 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.
format Conference or Workshop Item
author Khoo, Michael B. C.
Atta, Abdu M. A.
author_facet Khoo, Michael B. C.
Atta, Abdu M. A.
author_sort Khoo, Michael B. C.
title An EWMA control chart for monitoring the mean of skewed populations using weighted variance
title_short An EWMA control chart for monitoring the mean of skewed populations using weighted variance
title_full An EWMA control chart for monitoring the mean of skewed populations using weighted variance
title_fullStr An EWMA control chart for monitoring the mean of skewed populations using weighted variance
title_full_unstemmed An EWMA control chart for monitoring the mean of skewed populations using weighted variance
title_sort ewma control chart for monitoring the mean of skewed populations using weighted variance
publishDate 2008
url http://repo.uum.edu.my/14767/1/27.pdf
http://repo.uum.edu.my/14767/
http://doi.org/10.1109/IEEM.2008.4737863
_version_ 1644281542208389120
score 13.154949

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