Robustness properties of multivariate EWMA control charts | Zendy

Testik Murat C. | Zendy; Runger George C. | Zendy; Borror Connie M. | Zendy

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Robustness properties of multivariate EWMA control charts

Author(s) -

Testik Murat C.,

Runger George C.,

Borror Connie M.

Publication year - 2002

Publication title -

quality and reliability engineering international

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.913

H-Index - 62

eISSN - 1099-1638

pISSN - 0748-8017

DOI - 10.1002/qre.498

Subject(s) - ewma chart , multivariate statistics , statistics , control chart , robustness (evolution) , normality , multivariate normal distribution , econometrics , mathematics , multivariate analysis , normal distribution , computer science , chemistry , biochemistry , process (computing) , gene , operating system

In this paper, the robustness of the multivariate exponentially weighted moving average (MEWMA) control chart to non‐normal data is examined. Two non‐normal distributions of interest are the multivariate $t$ distribution and the multivariate gamma distribution. Recommendations for constructing MEWMA control charts when the normality assumption may be violated are provided. Copyright © 2002 John Wiley & Sons, Ltd.

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