A new non-parametric multivariate EWMA sign control chart for monitoring process dispersion

DOI10.1080/03610926.2018.1476708OpenAlexW2901818388WikidataQ128815314 ScholiaQ128815314MaRDI QIDQ5866107

Abdul Haq, Michael B. C. Khoo

Publication date: 10 June 2022

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

Full work available at URL: https://doi.org/10.1080/03610926.2018.1476708

zbMATH Keywords

Markov chainstatistical process controlaverage run lengthMEWMAarcsine transformationnon-parametric procedure

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (1)

Maximum weighted adaptive CUSUM charts for simultaneous monitoring of process mean and variance

Cites Work

• Multivariate statistical quality control using R.
• A nonparametric exponentially weighted moving average signed-rank chart for monitoring location
• A new bivariate semiparametric control chart based on order statistics and concomitants
• Multivariate nonparametric control chart with variable sampling interval
• A Distribution-Free Control Chart Based on Order Statistics
• A New Two-Sided Cumulative Sum Quality Control Scheme
• A Multivariate Exponentially Weighted Moving Average Control Chart
• On data depth and the application of nonparametric multivariate statistical process control charts
• Nonparametric quality control charts based on the sign statistic
• Nonparametric Double EWMA Control Chart for Process Monitoring
• An approach to the probability distribution of cusum run length

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