An Extended EWMA Mean Chart

By Lingyun Zhang, Gemai Chen. 2005

98 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/f4d8df19eeaec7ece9693e5c30c8d8121c05e192

How researchers see this paper

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

In Control and Systems Engineering

1. J. Malela‐Majika
2. Olatunde Adebayo Adeoti
3. Christos Koukouvinos
4. Kashinath Chatterjee
5. Vasileios Alevizakos
6. Chin Diew Lai
7. Kondaswamy Govindaraju
8. Mark S. Bebbington

In Statistics and Probability

1. J. Malela‐Majika
2. Olatunde Adebayo Adeoti
3. Christos Koukouvinos
4. Kashinath Chatterjee
5. Vasileios Alevizakos
6. Chin Diew Lai
7. Mark S. Bebbington
8. Kondaswamy Govindaraju

Citations in the corpus

• Poisson DEWMA Control Chart (2003, methodology): “This article, motivated by the work of Shamma and Shamma (1992), and Zhang and Chen (2002), extends the idea of the PEWMA chart to create a new chart we call a Poisson DEWMA (PDEWMA) chart.”
• Double exponentially weighted moving average control chart with supplementary runs-rules (2020, methodology): “The mean and the exact variance of the DEWMA statistic are given as (Adeoti, 2018; Mahmoud & Woodall, 2010; Zhang & Chen, 2005) E Zið Þ ¼ μz ¼ μx (2a) and σ2Z ¼ σ2Exact ¼ λ41 1þζ2 i2þ2iþ1ð Þζ2iþ 2i2þ2i 1ð Þζ2iþ2 i2ζ2iþ4 1 ζ2ð Þ3 σ 2 x if λ ¼ λ1 ¼ λ2 λ21λ 2 2 λ1 λ2ð Þ2 ρ2 1 ρ2ið Þ 1 ρ2 þ φ 2 1 φ2ið…”
• The triple exponentially weighted moving average control chart (2020, methodology): “Zhang and Chen (2005) studied the DEWMA chart using time-varying control limits and different values for the smoothing parameters and they showed that it outperforms the EWMA chart in detecting shifts smaller than 0:5σ. Sheu and Hsieh (2009) extended the GWMA chart by imitating the DEWMA technique…”