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Quality Technology & Quantitative Management Volume 15, 2018 - Issue 1: Advances in the Theory and Application of Statistical Process Control
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Articles

The performance of semi-empirical Bayesian control charts for monitoring Weibull data

Pasquale ErtoDepartment of Industrial Engineering, University of Naples ‘Federico II’, Naples, Italy
,
Giuliana PallottaDepartment of Industrial Engineering, University of Naples ‘Federico II’, Naples, Italy
,
Biagio PalumboDepartment of Industrial Engineering, University of Naples ‘Federico II’, Naples, ItalyCorrespondence[email protected]
&
Christina M. MastrangeloIndustrial and Systems Engineering, University of Washington, Seattle, WA, USA
Pages 69-86 | Accepted 06 Mar 2017, Published online: 03 Apr 2017

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Wei Zhao & Chunjie Wu. (2023) Monitoring the alternating renewal processes with Weibull window-censored data. Quality Technology & Quantitative Management 20:4, pages 468-484.
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Ahmad Ahmadi Yazdi, Mahdi Shafiee Kamalabad, Daniel L. Oberski & Marco Grzegorczyk. (2023) Bayesian multivariate control charts for multivariate profiles monitoring. Quality Technology & Quantitative Management 0:0, pages 1-36.
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Azaz Ahmed, Aamir Sanaullah & Muhammad Hanif. (2020) A robust alternate to the HEWMA control chart under non-normality. Quality Technology & Quantitative Management 17:4, pages 423-447.
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