A multivariate EWMA control chart for monitoring process variability with individual observations

By Arthur B. Yeh, Longcheen Huwang, Chien-Wei Wu. 2005

86 citations recorded by the source corpus.

Subfields: Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/5d778f054635bc0820c02e5a916320e41a812ea0

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Statistics and Probability

1. Shing I. Chang
2. Guoxi Zhang
3. Kaibo Wang
4. Bo Li
5. Thong Ngee Goh
6. Min Xie
7. Ling-Yau Chan
8. Ji Liu

Citations in the corpus

• A study of EWMA chart with transformed exponential data (2007, background): “Recent research also addressed the economic design (Garcia-Diaz and Aparisi 2005) and multivariate control (Yeh et al. 2005) of EWMA schemes.”
• Monitoring the covariance matrix via penalized likelihood estimation (2013, methodology): “Some recent papers have attempted to provide some diagnostic guidelines and procedures (see, for example, Yeh et al. (2006) and Chen and Hong (2010)).”
• Multivariate EWMA control charts using individual observations for process mean and variance monitoring and diagnosis (2008, methodology): “( 2005 ) use multivariate EWMA control charts for monitoring process variability with individual observations.”