A Multivariate Adaptive Exponentially Weighted Moving Average Control Chart

DOI10.1080/03610920902755813zbMath1188.62383OpenAlexW2050085705MaRDI QIDQ3562434

Mahmoud A. Mahmoud, Alyaa Zahran

Publication date: 21 May 2010

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610920902755813

zbMATH Keywords

inertiaadaptive weightingaverage run lengthexponentially weighted moving averagemultivariate control chartsignal resistance

Mathematics Subject Classification ID

Related Items (9)

The Performance of Phase II Simple Linear Profile Approaches when Parameters Are Estimated ⋮ Weighted adaptive multivariate CUSUM charts with variable sampling intervals ⋮ The adaptive EWMA median chart for known and estimated parameters ⋮ Design of a new adaptive MEWMA chart to monitor the mean ⋮ The Performance of the MEWMA Control Chart when Parameters are Estimated ⋮ An adaptive multivariate CUSUM control chart for signaling a range of location shifts ⋮ Enhanced adaptive multivariate EWMA and CUSUM charts for process mean ⋮ An adaptive exponentially weighted moving average-type control chart to monitor the process mean ⋮ The performance of multivariate CUSUM control charts with estimated parameters

Cites Work

• Unnamed Item
• Multivariate CUSUM Quality-Control Procedures
• A Multivariate Exponentially Weighted Moving Average Control Chart
• Robustness to non-normality and autocorrelation of individuals control charts
• Multivariate statistical process control—recent results and directions for future research
• Multivariate Control Charts for Monitoring the Process Mean and Variability Using Sequential Sampling

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