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Communications in Statistics - Theory and Methods Volume 49, 2020 - Issue 17
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Original Articles

Addressing the effect of parameter estimation on phase II monitoring of multivariate multiple linear profiles via a new cluster-based approach

Ahmad Ahmadi YazdiDepartment of Industrial and Systems Engineering, Isfahan University of Technology, Isfahan, Iran;
,
Ali Zeinal HamadaniDepartment of Industrial and Systems Engineering, Isfahan University of Technology, Isfahan, Iran;
&
Amirhossein AmiriDepartment of Industrial Engineering, Faculty of Engineering, Shahed University, Tehran, IranCorrespondence[email protected]
Pages 4117-4132 | Received 28 Aug 2018, Accepted 07 Mar 2019, Published online: 28 Mar 2019

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Read on this site (3)

Ming Ha Lee, Michael B. C. Khoo, Abdul Haq, Dennis M. L. Wong & XinYing Chew. (2023) Synthetic c charts with known and estimated process parameters based on median run length and expected median run length. Quality Technology & Quantitative Management 20:2, pages 168-183.
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Mohammad Mahdi Ahmadi, Hamid Shahriari & Yaser Samimi. (2022) A novel robust control chart for monitoring multiple linear profiles in phase II. Communications in Statistics - Simulation and Computation 51:11, pages 6257-6268.
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Mohammad Reza Maleki, Ali Salmasnia, Edgard M. Maboudou-Tchao & Parnaz Khanbeygi. (2022) Phase II monitoring of logistic regression profiles with estimated parameters. Journal of Statistical Computation and Simulation 92:13, pages 2721-2739.
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Articles from other publishers (1)

Yi‐Hua Tina Wang & Shu‐Han Zhan. (2023) Monitoring autocorrelated multivariate multiple linear profiles. Quality and Reliability Engineering International.
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