Multivariate Control Charts for Monitoring the Mean Vector and Covariance Matrix

By Covariance Matrix, Marion R. Reynolds, Gyo-Young Cho. 2006

113 citations recorded by the source corpus.

Subfields: Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/ca30cc8fea19192c4ab5564e6e057dad01de3b25

How researchers see this paper

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In Statistics and Probability

1. Shing I. Chang
2. Guoxi Zhang
3. Kaibo Wang
4. Bo Li
5. Arthur B. Yeh
6. Samory Kpotufe

Citations in the corpus

• Multivariate EWMA control charts using individual observations for process mean and variance monitoring and diagnosis (2008, methodology): “The proposed DEWMA and MEWMD charts can also be compared to the other combined MEWMA charts such as those proposed by Reynolds and Cho (2006).”
• Monitoring the covariance matrix via penalized likelihood estimation (2013, methodology): “A real example from the semiconductor industry is presented and analyzed using the proposed chart and other existing charts.”