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Quality Technology & Quantitative Management Volume 16, 2019 - Issue 3
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Articles

A computationally efficient self-starting scheme to monitor general linear profiles with abrupt changes

Zhiming XiaSchool of Mathematics, Northwest University, Xi’an, China.View further author information
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Fugee TsungDepartment of Industrial Engineering and Logistics Management, Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong.Correspondence[email protected]
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Pages 278-296 | Accepted 23 Oct 2017, Published online: 25 Nov 2017

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Ning Ding, Zhen He, Shuguang He & Lisha Song. (2024) Real-time profile monitoring schemes considering covariates using Gaussian process via sensor data. Quality Technology & Quantitative Management 21:1, pages 35-53.
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Yifan Li, Chunjie Wu, Zhijun Wang & Zhiming Hu. (2023) Aggregated parameter update schemes for monitoring binary profiles. Journal of Applied Statistics 0:0, pages 1-23.
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Chen-ju Lin & Pei-Ying Lin. (2021) A step-up approach for selecting substitute suppliers under nonlinear profile data. Quality Technology & Quantitative Management 18:5, pages 641-655.
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Articles from other publishers (1)

Mohammad Reza Maleki, Amirhossein Amiri & Philippe Castagliola. (2018) An overview on recent profile monitoring papers (2008–2018) based on conceptual classification scheme. Computers & Industrial Engineering 126, pages 705-728.
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