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

DOI10.1080/03610910500308719zbMath1101.62121OpenAlexW2057184016MaRDI QIDQ5719274

Petros E. Maravelakis, Stelios Psarakis, John Panaretos

Publication date: 18 January 2006

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://mpra.ub.uni-muenchen.de/6396/1/MPRA_paper_6396.pdf

zbMATH Keywords

non-normalitycontrol chartsstatistical process controlaverage run lengthexponentially weighted moving average control chartmedian run length

Mathematics Subject Classification ID

Applications of statistics in engineering and industry; control charts (62P30) Robustness and adaptive procedures (parametric inference) (62F35)

Related Items (7)

A new control chart using GINI C_PK ⋮ Double moving average–EWMA control chart for exponentially distributed quality ⋮ Non-normality and combined double sampling and variable sampling interval control charts ⋮ Robustness of the EWMA and the combinedX¯–EWMA control charts with variable sampling intervals to non-normality ⋮ Robustness of the EWMA control chart for individual observations ⋮ Unnamed Item ⋮ Optimal designs of the exponentially weighted moving average (EWMA) median chart for known and estimated parameters based on median run length

Cites Work

• The Distribution of the Run Length of One-Sided CUSUM Procedures for Continuous Random Variables
• Some Omnibus Exponentially Weighted Moving Average Statistical Process Monitoring Schemes
• Robustness to non-normality and autocorrelation of individuals control charts
• An optimal design of cumulative sum control chart based on median run length
• An optimal design of ewma control charts based on median run length
• An approach to the probability distribution of cusum run length
• Unnamed Item
• Unnamed Item

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