Robust multivariate control charts to detect small shifts in mean.

The classical multivariate CUSUM and EWMA charts are commonly used to detect small shifts in the mean vectors. It is now evident that those charts are easily affected by outliers which may be due to small or moderate changes in the mean vector. In this paper, we propose a robust multivariate CUSUM a...

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Main Authors: Midi, Habshah, Shabbak, Ashkan
Format: Article
Language:English
English
Published: Hindawi Publishing Corporation 2011
Online Access:http://psasir.upm.edu.my/id/eprint/24974/
http://psasir.upm.edu.my/id/eprint/24974/1/Robust%20multivariate%20control%20charts%20to%20detect%20small%20shifts%20in%20mean.pdf
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author Midi, Habshah
Shabbak, Ashkan
author_facet Midi, Habshah
Shabbak, Ashkan
author_sort Midi, Habshah
building UPM Institutional Repository
collection Online Access
description The classical multivariate CUSUM and EWMA charts are commonly used to detect small shifts in the mean vectors. It is now evident that those charts are easily affected by outliers which may be due to small or moderate changes in the mean vector. In this paper, we propose a robust multivariate CUSUM and Robust multivariate EWMA charts to remedy the problem of small changed in scatter outliers. Both the empirical and simulation results indicate that the proposed robust multivariate CUSUM and EWMA charts offer substantial improvement over other multivariate CUSUM and EWMA charts. This article also discussed the robustness of the proposed charts, when there is a small or moderate sustained shift in the data set.
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publishDate 2011
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spelling upm-249742015-10-20T03:39:45Z http://psasir.upm.edu.my/id/eprint/24974/ Robust multivariate control charts to detect small shifts in mean. Midi, Habshah Shabbak, Ashkan The classical multivariate CUSUM and EWMA charts are commonly used to detect small shifts in the mean vectors. It is now evident that those charts are easily affected by outliers which may be due to small or moderate changes in the mean vector. In this paper, we propose a robust multivariate CUSUM and Robust multivariate EWMA charts to remedy the problem of small changed in scatter outliers. Both the empirical and simulation results indicate that the proposed robust multivariate CUSUM and EWMA charts offer substantial improvement over other multivariate CUSUM and EWMA charts. This article also discussed the robustness of the proposed charts, when there is a small or moderate sustained shift in the data set. Hindawi Publishing Corporation 2011 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/24974/1/Robust%20multivariate%20control%20charts%20to%20detect%20small%20shifts%20in%20mean.pdf Midi, Habshah and Shabbak, Ashkan (2011) Robust multivariate control charts to detect small shifts in mean. Mathematical Problems in Engineering, 2011 (923463). pp. 1-19. ISSN 1024-123X http://www.hindawi.com/ 10.1155/2011/923463 English
spellingShingle Midi, Habshah
Shabbak, Ashkan
Robust multivariate control charts to detect small shifts in mean.
title Robust multivariate control charts to detect small shifts in mean.
title_full Robust multivariate control charts to detect small shifts in mean.
title_fullStr Robust multivariate control charts to detect small shifts in mean.
title_full_unstemmed Robust multivariate control charts to detect small shifts in mean.
title_short Robust multivariate control charts to detect small shifts in mean.
title_sort robust multivariate control charts to detect small shifts in mean.
url http://psasir.upm.edu.my/id/eprint/24974/
http://psasir.upm.edu.my/id/eprint/24974/
http://psasir.upm.edu.my/id/eprint/24974/
http://psasir.upm.edu.my/id/eprint/24974/1/Robust%20multivariate%20control%20charts%20to%20detect%20small%20shifts%20in%20mean.pdf