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Quality Technology & Quantitative Management Volume 17, 2020 - Issue 6
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Research Article

A new Bayesian scheme for self-starting process mean monitoring

Yuxing Houa Department of Industrial and Systems Engineering, University of Iowa, Iowa City, IA, USAView further author information
,
Baosheng Hea Department of Industrial and Systems Engineering, University of Iowa, Iowa City, IA, USAView further author information
,
Xudong Zhanga Department of Industrial and Systems Engineering, University of Iowa, Iowa City, IA, USAView further author information
,
Yong Chena Department of Industrial and Systems Engineering, University of Iowa, Iowa City, IA, USACorrespondence[email protected]
View further author information
&
Qingyu Yangb Department of Industrial and Systems Engineering, Wayne State University, Detroit, MI, USAView further author information
Pages 661-684 | Accepted 28 Jan 2020, Published online: 24 Feb 2020

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Read on this site (3)

I. M. Zwetsloot, L. A. Jones-Farmer & W. H. Woodall. (2023) Monitoring univariate processes using control charts: Some practical issues and advice. Quality Engineering 0:0, pages 1-13.
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Kai Wang & Fugee Tsung. (2022) Bayesian cross-product quality control via transfer learning. International Journal of Production Research 60:3, pages 847-865.
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Sajid Ali. (2020) A predictive Bayesian approach to EWMA and CUSUM charts for time-between-events monitoring. Journal of Statistical Computation and Simulation 90:16, pages 3025-3050.
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Articles from other publishers (2)

Akash Deep, Shiyu Zhou, Dharmaraj Veeramani & Yong Chen. (2023) Partially observable Markov decision process-based optimal maintenance planning with time-dependent observations. European Journal of Operational Research 311:2, pages 533-544.
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Sangahn Kim, Mehmet Turkoz & Jung Woo Baek. (2022) High-Speed Monitoring of Multidimensional Processes Using Bayesian Updates. IEEE Access 10, pages 97450-97464.
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