An efficient approach of designing distribution-free exponentially weighted moving average schemes with dynamic fast initial response for joint monitoring of location and scale
DOI10.1080/00949655.2020.1776711OpenAlexW3034278393MaRDI QIDQ5033424
Jiujun Zhang, Amitava Mukherjee, Zhi Song
Publication date: 23 February 2022
Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00949655.2020.1776711
nonparametricstatistical process controlexponentially weighted moving averagefalse alarmssimultaneous monitoringfast initial response
Applications of statistics in engineering and industry; control charts (62P30) Statistics (62-XX) Nonparametric inference (62G99)
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- Distribution-free monitoring of univariate processes
- Optimal design of Shewhart-Lepage type schemes and its application in monitoring service quality
- Optimizing joint location-scale monitoring -- an adaptive distribution-free approach with minimal loss of information
- Fast initial response features for EWMA control charts
- Applying fast initial response features on GWMA control charts for monitoring autocorrelation data
- The Run SumRChart with Fast Initial Response
- Distribution-Free Exceedance CUSUM Control Charts for Location
- Nonparametric Simultaneous Tests for Location and Scale Testing: A Comparison of Several Methods
- Improved CUSUM charts for monitoring process mean
- On increasing the sensitivity of mixed EWMA–CUSUM control charts for location parameter
- A rule of thumb for testing symmetry about an unknown median against a long right tail
- Nonparametric Statistical Process Control
- Some notes on the location–scale Cucconi test
- Distribution-Free Quality Control Charts Based on Signed-Rank-Like Statistics
- A combination of Wilcoxon's and Ansari-Bradley's statistics
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