One-sided and two one-sided MEWMA charts for monitoring process mean

DOI10.1080/00949655.2019.1699926OpenAlexW2994265145MaRDI QIDQ5107734

Abdul Haq

Publication date: 28 April 2020

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

Full work available at URL: https://doi.org/10.1080/00949655.2019.1699926

zbMATH Keywords

Monte Carlo simulationstatistical process controlcontrol chartaverage run lengthprocess meanMEWMA

Mathematics Subject Classification ID

Related Items (5)

A one-sided exponentially weighted moving average control chart for time between events ⋮ Multivariate ELR control chart with estimated mean vector and covariance matrix ⋮ On designing efficient multivariate exponentially weighted moving average control chart for compositional data using variable sample size ⋮ Modified one-sided EWMA charts for monitoring time between events ⋮ Enhanced adaptive multivariate EWMA and CUSUM charts for process mean

Cites Work

• Multivariate statistical quality control using R.
• An adaptive multivariate CUSUM control chart for signaling a range of location shifts
• A Double Multivariate Exponentially Weighted Moving Average (dMEWMA) Control Chart for a Process Location Monitoring
• The Design of the Multivariate Synthetic Exponentially Weighted Moving Average Control Chart
• Multivariate Generalizations of Cumulative Sum Quality-Control Schemes
• A Multivariate Exponentially Weighted Moving Average Control Chart
• A Markov Chain Model for the Multivariate Exponentially Weighted Moving Averages Control Chart
• Mixed multivariate EWMA-CUSUM control charts for an improved process monitoring
• A One-Sided EWMA Control Chart for Monitoring Process Means

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