Robustness properties of multivariate EWMA control charts

Murat C. Testik, George Runger, Connie M. Borror

Research output: Contribution to journalArticlepeer-review

53 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)31-38
Number of pages8
JournalQuality and Reliability Engineering International
Issue number1
StatePublished - 2003


  • Average run length
  • Control charts
  • Multivariate exponentially weighted moving average

ASJC Scopus subject areas

  • Safety, Risk, Reliability and Quality
  • Management Science and Operations Research


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