A joint monitoring of the process mean and variance with a generally weighted moving average maximum control chart
Author:
Affiliation:
1. Augusta University, Augusta, Georgia, USA
2. Department of Mathematics, National Technical University of Athens, Athens, Greece
3. Department of Mathematics, National and Kapodistrian University of Athens, Athens, Greece
Publisher
Informa UK Limited
Subject
Modeling and Simulation,Statistics and Probability
Link
https://www.tandfonline.com/doi/pdf/10.1080/03610918.2023.2170415
Reference50 articles.
1. A S 2-GWMA control chart for monitoring the process variability
2. A generally weighted moving average t control chart for monitoring shifts in the process mean
3. New GWMA-CUSUM control chart for monitoring the process dispersion
4. A mixed GWMA–CUSUM control chart for monitoring the process mean
5. EWMA Control Charts for the Smallest and Largest Observations
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1. Memory type Max-EWMA control chart for the Weibull process under the Bayesian theory;Scientific Reports;2024-02-07
2. Enhanced Dispersion Monitoring Structures Based on Modified Successive Sampling: Application to Fertilizer Production Process;Symmetry;2023-05-18
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