Robust hotelling control chart with consistent minimum vector variance
Recently, an alternative robust control chart based on a new robust estimator known as minimum vector variance (MVV) estimator, , was introduced in Phase II. was able to detect out-of-control signal and simultaneously control false alarm rate even as the dimension increased.However, the estimated UC...
Main Authors: | , , |
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Format: | Article |
Language: | English |
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Hindawi Publishing Corporation
2013
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Online Access: | https://repo.uum.edu.my/id/eprint/16528/1/rg73.pdf |
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author | Ali, Hazlina Syed Yahaya, Sharipah Soaad Omar, Zurni |
author_facet | Ali, Hazlina Syed Yahaya, Sharipah Soaad Omar, Zurni |
author_sort | Ali, Hazlina |
collection | UUM |
description | Recently, an alternative robust control chart based on a new robust estimator known as minimum vector variance (MVV) estimator, , was introduced in Phase II. was able to detect out-of-control signal and simultaneously control false alarm rate even as the dimension increased.However, the estimated UCLs of are large as compared to the traditional chart.In this study, we improved the MVV estimators in terms of consistency and bias.The result showed great improvement in the control limit values while maintaining its good performance in terms of false alarm and probability of detection. |
first_indexed | 2024-07-04T06:02:19Z |
format | Article |
id | uum-16528 |
institution | Universiti Utara Malaysia |
language | English |
last_indexed | 2024-07-04T06:02:19Z |
publishDate | 2013 |
publisher | Hindawi Publishing Corporation |
record_format | eprints |
spelling | uum-165282016-12-04T07:54:26Z https://repo.uum.edu.my/id/eprint/16528/ Robust hotelling control chart with consistent minimum vector variance Ali, Hazlina Syed Yahaya, Sharipah Soaad Omar, Zurni QA Mathematics Recently, an alternative robust control chart based on a new robust estimator known as minimum vector variance (MVV) estimator, , was introduced in Phase II. was able to detect out-of-control signal and simultaneously control false alarm rate even as the dimension increased.However, the estimated UCLs of are large as compared to the traditional chart.In this study, we improved the MVV estimators in terms of consistency and bias.The result showed great improvement in the control limit values while maintaining its good performance in terms of false alarm and probability of detection. Hindawi Publishing Corporation 2013 Article PeerReviewed application/pdf en cc_by https://repo.uum.edu.my/id/eprint/16528/1/rg73.pdf Ali, Hazlina and Syed Yahaya, Sharipah Soaad and Omar, Zurni (2013) Robust hotelling control chart with consistent minimum vector variance. Mathematical Problems in Engineering, 2013. pp. 1-7. ISSN 1024-123X http://doi.org/10.1155/2013/401350 doi:10.1155/2013/401350 doi:10.1155/2013/401350 |
spellingShingle | QA Mathematics Ali, Hazlina Syed Yahaya, Sharipah Soaad Omar, Zurni Robust hotelling control chart with consistent minimum vector variance |
title | Robust hotelling control chart with consistent minimum vector variance |
title_full | Robust hotelling control chart with consistent minimum vector variance |
title_fullStr | Robust hotelling control chart with consistent minimum vector variance |
title_full_unstemmed | Robust hotelling control chart with consistent minimum vector variance |
title_short | Robust hotelling control chart with consistent minimum vector variance |
title_sort | robust hotelling control chart with consistent minimum vector variance |
topic | QA Mathematics |
url | https://repo.uum.edu.my/id/eprint/16528/1/rg73.pdf |
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