Bayesian sequential update for monitoring and control of high-dimensional processes
Author:
Publisher
Springer Science and Business Media LLC
Subject
Management Science and Operations Research,General Decision Sciences
Link
https://link.springer.com/content/pdf/10.1007/s10479-021-04188-9.pdf
Reference46 articles.
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3. Apley, D. W. (2012). Posterior distribution charts: A Bayesian approach for graphically exploring a process mean. Technometrics, 54(3), 279–293.
4. Burgers, G., Jan van Leeuwen, P., & Evensen, G. (1998). Analysis scheme in the ensemble Kalman filter. Monthly Weather Review, 126(6), 1719–1724.
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Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Root cause analysis of manufacturing variation from optical scanning data;Annals of Operations Research;2022-12-21
2. High-Speed Monitoring of Multidimensional Processes Using Bayesian Updates;IEEE Access;2022
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