A Multivariate Synthetic Control Chart for Monitoring the Process Mean Vector of Skewed Populations Using Weighted Standard Deviations

DOI10.1080/03610910903019905zbMath1167.62100OpenAlexW2006989608MaRDI QIDQ3391890

Michael B. C. Khoo, Zhang Wu, Abdu Mohammed Ali Atta

Publication date: 13 August 2009

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

Full work available at URL: https://doi.org/10.1080/03610910903019905

zbMATH Keywords

conforming run lengthmultivariate control chartsweighted variance

Mathematics Subject Classification ID

Related Items (8)

The Design of the Multivariate Synthetic Exponentially Weighted Moving Average Control Chart ⋮ Some Comments Regarding the Synthetic Chart ⋮ Robustification of CUSUM control structure for monitoring location shift of skewed distributions based on modified one-step M-estimator ⋮ The Synthetic Mean Square Error Control Chart ⋮ Adaptive Hotelling'sT²Control Charts with Run Rules ⋮ Development of a multiattribute synthetic-np chart ⋮ Sensitivity Analyses of the Economic and Economic Statistical Designs of the Multivariate SyntheticT²Chart ⋮ A synthetic control chart for the coefficient of variation

Cites Work

• Multivariate distributions having Weibull properties
• A Multivariate Synthetic Control Chart for Monitoring Process Mean Vector
• Synthetic control charts with two-stage sampling for monitoring bivariate processes
• Skewness correction X̄ and R charts for skewed distributions
• THE ROBUSTNESS OF THE SYNTHETIC CONTROL CHART TO NON-NORMALITY
• Multivariate CUSUM and EWMA Control Charts for Skewed Populations Using Weighted Standard Deviations
• Optimal Statistical Design of a Multivariate EWMA Chart Based on ARL and MRL

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