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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universiti Kebangsaan Malaysia
2009
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| Online Access: | http://psasir.upm.edu.my/id/eprint/15758/1/Multivariate%20control%20chart%20based%20on%20robust%20estimator.pdf |
| _version_ | 1825945683459309568 |
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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 |
| collection | UPM |
| 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. |
| first_indexed | 2024-03-06T07:35:17Z |
| format | Article |
| id | upm.eprints-15758 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T07:35:17Z |
| publishDate | 2009 |
| publisher | Universiti Kebangsaan Malaysia |
| record_format | dspace |
| spelling | upm.eprints-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/15758/1/Multivariate%20control%20chart%20based%20on%20robust%20estimator.pdf |
| work_keys_str_mv | AT midihabshah multivariatecontrolchartbasedonrobustestimator AT shabbakashkan multivariatecontrolchartbasedonrobustestimator AT atalibbashar multivariatecontrolchartbasedonrobustestimator AT hassanmohdnooh multivariatecontrolchartbasedonrobustestimator |