Adaptive multivariate EWMA charts for monitoring sparse mean shifts based on parameter optimization design

DOI10.1080/00949655.2021.1904242OpenAlexW3150620159MaRDI QIDQ3389673

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Publication date: 23 March 2022

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2021.1904242

zbMATH Keywords

statistical process controladaptive control chartsALEWMAAVS-MEWMAsparse mean shifts

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (2)

New weighted adaptive CUSUM charts for monitoring the generalized variance of a bivariate normal process ⋮ On designing efficient multivariate exponentially weighted moving average control chart for compositional data using variable sample size

Cites Work

• Multivariate EWMA control chart based on a variable selection using AIC for multivariate statistical process monitoring
• Multivariate Statistical Process Control Using LASSO
• A spatial rank-based multivariate EWMA control chart
• An adaptive exponentially weighted moving average control chart for monitoring process variances
• A Multivariate Exponentially Weighted Moving Average Control Chart

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