A double progressive mean control chart for monitoring Poisson observations

DOI10.1016/j.cam.2019.04.012zbMath1436.62696OpenAlexW2936573717WikidataQ128039218 ScholiaQ128039218MaRDI QIDQ1989168

Vasileios Alevizakos, Christos Koukouvinos

Publication date: 24 April 2020

Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cam.2019.04.012

zbMATH Keywords

Poisson distributioncontrol chartaverage run-lengthdouble progressive meanPEWMA

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of statistics in engineering and industry; control charts (62P30) Production models (90B30) Point processes (e.g., Poisson, Cox, Hawkes processes) (60G55)

Related Items (3)

An efficient nonparametric double progressive mean chart for monitoring of the process location ⋮ An assessment of the effect of using different mappings and Minkowski distances in joint monitoring of the time-between-event processes ⋮ A homogeneously weighted moving average control chart for Conway–Maxwell Poisson distribution

Cites Work

• Unnamed Item
• Monitoring Poisson Observations Using Modified Exponentially Weighted Moving Average Control Charts
• Fast Initial Response Features for Poisson GWMA Control Charts
• Counted Data CUSUM's
• Poisson DEWMA Control Chart
• Progressive Variance Control Charts for Monitoring Process Dispersion
• Poisson GWMA Control Chart
• CONTINUOUS INSPECTION SCHEMES

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