Multivariate control chart based on robust estimator

A Hotelling T 2 control chart has been widely used for monitoring first phase of multivariate statistical process control. However, this classical control chart which is based on classical estimators is not effective in detecting multivariate outliers. As an alternative, T 2 statistics based on robu...

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Main Authors: Midi, Habshah, Shabbak, Ashkan, A. Talib, Bashar, Hassan, Mohd Nooh
Format: Article
Language:English
Published: Universiti Kebangsaan Malaysia 2009
Online Access:http://psasir.upm.edu.my/id/eprint/15758/
http://psasir.upm.edu.my/id/eprint/15758/1/Multivariate%20control%20chart%20based%20on%20robust%20estimator.pdf
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author Midi, Habshah
Shabbak, Ashkan
A. Talib, Bashar
Hassan, Mohd Nooh
author_facet Midi, Habshah
Shabbak, Ashkan
A. Talib, Bashar
Hassan, Mohd Nooh
author_sort Midi, Habshah
building UPM Institutional Repository
collection Online Access
description A Hotelling T 2 control chart has been widely used for monitoring first phase of multivariate statistical process control. However, this classical control chart which is based on classical estimators is not effective in detecting multivariate outliers. As an alternative, T 2 statistics based on robust minimum volume ellipsoid or the minimum covariance determinant are proposed. The performance of these robust control charts are investigated extensively by real examples and Monte Carlo simulation. The result indicates that the robust control charts is more effective in detecting outliers than the classical control charts.
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format Article
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institution Universiti Putra Malaysia
institution_category Local University
language English
last_indexed 2025-11-15T08:04:23Z
publishDate 2009
publisher Universiti Kebangsaan Malaysia
recordtype eprints
repository_type Digital Repository
spelling upm-157582017-04-05T08:55:19Z http://psasir.upm.edu.my/id/eprint/15758/ Multivariate control chart based on robust estimator Midi, Habshah Shabbak, Ashkan A. Talib, Bashar Hassan, Mohd Nooh A Hotelling T 2 control chart has been widely used for monitoring first phase of multivariate statistical process control. However, this classical control chart which is based on classical estimators is not effective in detecting multivariate outliers. As an alternative, T 2 statistics based on robust minimum volume ellipsoid or the minimum covariance determinant are proposed. The performance of these robust control charts are investigated extensively by real examples and Monte Carlo simulation. The result indicates that the robust control charts is more effective in detecting outliers than the classical control charts. Universiti Kebangsaan Malaysia 2009 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/15758/1/Multivariate%20control%20chart%20based%20on%20robust%20estimator.pdf Midi, Habshah and Shabbak, Ashkan and A. Talib, Bashar and Hassan, Mohd Nooh (2009) Multivariate control chart based on robust estimator. Journal of Quality Measurement and Analysis, 5 (1). pp. 17-33. ISSN 1823-5670 http://www.ukm.my/jqma/jqma5_1a.html
spellingShingle Midi, Habshah
Shabbak, Ashkan
A. Talib, Bashar
Hassan, Mohd Nooh
Multivariate control chart based on robust estimator
title Multivariate control chart based on robust estimator
title_full Multivariate control chart based on robust estimator
title_fullStr Multivariate control chart based on robust estimator
title_full_unstemmed Multivariate control chart based on robust estimator
title_short Multivariate control chart based on robust estimator
title_sort multivariate control chart based on robust estimator
url http://psasir.upm.edu.my/id/eprint/15758/
http://psasir.upm.edu.my/id/eprint/15758/
http://psasir.upm.edu.my/id/eprint/15758/1/Multivariate%20control%20chart%20based%20on%20robust%20estimator.pdf