An efficient charting scheme for multivariate categorical process with a sparse contingency table

Dongdong XiangKey Laboratory of Advanced Theory and Application in Statistics and Data Science-MOE, School of Statistics, East China Normal University, Shanghai, China; View further author information

Xiaolong PuKey Laboratory of Advanced Theory and Application in Statistics and Data Science-MOE, School of Statistics, East China Normal University, Shanghai, China; View further author information

Dong DingSchool of Management, Xi’an Polytechnic University, Xian, China; View further author information

Wenjuan LiangSchool of Mathematics and Statistics, Huangshan University, Anhui, ChinaCorrespondence[email protected]
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Kai Wang, Jian Li & Fugee Tsung. (2023) Efficient and interpretable monitoring of high-dimensional categorical processes. IISE Transactions 55:9, pages 886-900.
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Karim Atashgar, Faeze Saeedian & Zahra NamAvar. (2021) Monitoring combined multivariate process approaching hybrid kernel‐CUSUM analysis. Quality and Reliability Engineering International 37:8, pages 3600-3616.
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Fatemeh Maleki, Saeed Mehri, Abdollah Aghaie & Hamid Shahriari. (2020) Robust T 2 control chart using median‐based estimators . Quality and Reliability Engineering International 36:6, pages 2187-2201.
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An efficient charting scheme for multivariate categorical process with a sparse contingency table

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An efficient charting scheme for multivariate categorical process with a sparse contingency table

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