Nonparametric multivariate control chart based on density-sensitive novelty weight for non-normal processes
Author:
Affiliation:
1. School of Business, Dongguk University-Seoul, Seoul, South Korea
2. School of Business, Zhengzhou University, Zhengzhou, China
Funder
National Natural Science Foundation of China
National Research Foundation of Korea
Publisher
Informa UK Limited
Subject
Management of Technology and Innovation,Information Systems and Management,Management Science and Operations Research,Industrial relations,Business and International Management
Link
https://www.tandfonline.com/doi/pdf/10.1080/16843703.2019.1577345
Reference27 articles.
1. Multivariate statistical process control charts: an overview
2. The application of multivariate statistical process monitoring in non-industrial processes
3. Nonparametric Control Charts: An Overview and Some Results
4. On the control chart with estimated parameters
5. Integration of support vector machines and control charts for multivariate process monitoring
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