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 r...
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Penerbit ukm
2009
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ukm-1901 |
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eprints |
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ukm-19012011-06-16T07:05:07Z http://journalarticle.ukm.my/1901/ Multivariate control chart based on robust estimator Habshah Midi, Ashkan Shabbak, Bashar A.Talib , Mohd Nooh Hassan, 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 Penerbit ukm 2009-07 Article PeerReviewed Habshah Midi, and Ashkan Shabbak, and Bashar A.Talib , and Mohd Nooh Hassan, (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/~ppsmfst/jqma/index.html |
| repository_type |
Digital Repository |
| institution_category |
Local University |
| institution |
Universiti Kebangasaan Malaysia |
| building |
UKM 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 |
| format |
Article |
| author |
Habshah Midi, Ashkan Shabbak, Bashar A.Talib , Mohd Nooh Hassan, |
| spellingShingle |
Habshah Midi, Ashkan Shabbak, Bashar A.Talib , Mohd Nooh Hassan, Multivariate control chart based on robust estimator |
| author_facet |
Habshah Midi, Ashkan Shabbak, Bashar A.Talib , Mohd Nooh Hassan, |
| author_sort |
Habshah Midi, |
| title |
Multivariate control chart based on robust estimator |
| title_short |
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_sort |
multivariate control chart based on robust estimator |
| publisher |
Penerbit ukm |
| publishDate |
2009 |
| url |
http://journalarticle.ukm.my/1901/ http://journalarticle.ukm.my/1901/ |
| first_indexed |
2023-09-18T19:34:39Z |
| last_indexed |
2023-09-18T19:34:39Z |
| _version_ |
1777405190461194240 |