المستودع الأكاديمي جامعة المدينة

An Alternative Hotelling T^2 Control Chart Based on Minimum Vector Variance (MVV)

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dc.creator Sharifah Soaad Syed Yahaya
dc.creator Hazlina Ali
dc.creator Zurni Omar
dc.date 2011
dc.date.accessioned 2013-05-30T12:25:48Z
dc.date.available 2013-05-30T12:25:48Z
dc.date.issued 2013-05-30
dc.identifier http://www.ccsenet.org/journal/index.php/mas/article/view/10514
dc.identifier http://www.doaj.org/doaj?func=openurl&genre=article&issn=19131844&date=2011&volume=5&issue=4&spage=
dc.identifier.uri http://koha.mediu.edu.my:8181/jspui/handle/123456789/5198
dc.description <p>The performance of traditional Hotelling <em>T<sup>2</sup></em> control chart using classical estimators in Phase I suffers from masking and swamping effect. To alleviate the problem, robust location and scale estimators are recommended. This paper proposed a robust Hotelling<em> T<sup>2</sup></em> control chart for individual observations based on minimum vector variance (MVV) estimators as an alternative to the traditional multivariate  <em>T<sup>2</sup></em> control chart for Phase II data. MVV is a new robust estimator which possesses the good properties as in minimum covariance determinant (MCD) with better computational efficiency. Through simulation study, we evaluate the performance of the proposed chart in terms of probability of detection and false alarm rates and compared with the performance of the traditional charts and the chart issued from MCD estimators. The results showed that MVV control chart has competitive performance relative to MCD and traditional control charts even under certain location parameter shifts in Phase I data.</p>
dc.language eng
dc.publisher Canadian Center of Science and Education
dc.source Modern Applied Science
dc.title An Alternative Hotelling T^2 Control Chart Based on Minimum Vector Variance (MVV)


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