An Examination of the Robustness to Non Normality of the EWMA Control Charts for the Dispersion

By Petros E. Maravelakis, John Panaretos, Stelios Psarakis. 2005

65 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/b438787a80a0db918a768afd19bc2e5c8b715c08

How researchers see this paper

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In Control and Systems Engineering

1. Philippe Castagliola

In Statistics and Probability

1. Thong Ngee Goh
2. Min Xie
3. Ling-Yau Chan
4. Jinsheng Sun
5. Ji Liu
6. Xuelong Hu
7. Philippe Castagliola
8. Anan Tang

Citations in the corpus

• A study of EWMA chart with transformed exponential data (2007, background): “Another favourable property of the EWMA chart is its robustness to nonnormality (Borror et al. 1999, Stoumbos and Reynolds 2000, Maravelakis et al. 2005), which is beneficial for transformation scheme since the data after transformation will not strictly follow normal distribution even if a proper…”
• Optimal design of the adaptive EWMA chart for the mean based on median run length and expected median run length (2019, background): “Maravelakis, Panaretos, and Psarakis (2005) also advocated that the MRL provides a more reliable interpretation for the in-control and out-of-control performances as it is less influenced by the skewness of the run length distribution.”