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Quality Technology & Quantitative Management Volume 17, 2020 - Issue 5
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Research Article

Monitoring location and scale of multivariate processes subject to a multiplicity of assignable causes

Konstantinos A. TasiasDepartment of Mechanical Engineering, University of Western Macedonia, Kozani, GreeceCorrespondence[email protected]
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George NenesDepartment of Mechanical Engineering, University of Western Macedonia, Kozani, GreeceView further author information
Pages 592-608 | Accepted 03 Dec 2019, Published online: 21 Dec 2019

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Read on this site (2)

Mohammad Reza Maleki, Ali Salmasnia & Sahand Yousefi. (2023) Multivariate ELR control chart with estimated mean vector and covariance matrix. Communications in Statistics - Theory and Methods 52:24, pages 8814-8827.
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Mohsen Ebadi, Shojaeddin Chenouri, Dennis K. J. Lin & Stefan H. Steiner. (2022) Statistical monitoring of the covariance matrix in multivariate processes: A literature review. Journal of Quality Technology 54:3, pages 269-289.
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Articles from other publishers (2)

Rahmat Shojaei & M. Bameni Moghadam. (2023) An Extension of Yang and Rahim’s Model to Determine Design Parameters in Multivariate Control Charts Under Multiple Assignable Causes and Weibull Shock Model. Stochastics and Quality Control 38:1, pages 25-46.
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M. J. Ershadi, M. M. Ershadi, S. Haghighi Naeini & S. T. A. Niaki. (2021) An economic-statistical design of simple linear profiles with multiple assignable causes using a combination of MOPSO and RSM. Soft Computing 25:16, pages 11087-11100.
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