A nonparametric CUSUM chart for monitoring multivariate serially correlated processes
Author:
Affiliation:
1. School of Information Management, Zhengzhou University of Aeronautics, Zhengzhou, China
2. Department of Biostatistics, University of Florida, Gainesville, Florida
Funder
NSF
National Natural Science Foundation of China
China Postdoctoral Science Foundation
Science and Technology Innovation Talent Support plan in Universities of Henan Province
Training Program for Young Key Teachers in Universities of Henan Province
Publisher
Informa UK Limited
Subject
Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management,Safety, Risk, Reliability and Quality
Link
https://www.tandfonline.com/doi/pdf/10.1080/00224065.2020.1778430
Reference35 articles.
1. Robustness Comparison of Exponentially Weighted Moving-Average Charts on Autocorrelated Data and on Residuals
2. The AutoregressiveT2 Chart for Monitoring Univariate Autocorrelated Processes
3. Statistical Methods for Data with Long-Range Dependence
4. Two simple Shewhart-type multivariate nonparametric control charts
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