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Articles

Performance of Max-EWMA control chart for joint monitoring of mean and variance with measurement error

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Pages 1-26 | Received 12 Feb 2020, Accepted 22 Oct 2020, Published online: 05 Nov 2020

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Kashinath Chatterjee, Christos Koukouvinos, Angeliki Lappa & Paraskevi Roupa. (2023) A joint monitoring of the process mean and variance with a generally weighted moving average maximum control chart. Communications in Statistics - Simulation and Computation 0:0, pages 1-21.
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Afshan Riaz, Muhammad Noor-ul-Amin & Eralp Dogu. (2022) Effect of measurement error on joint monitoring of process mean and coefficient of variation. Communications in Statistics - Theory and Methods 51:19, pages 6863-6882.
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Articles from other publishers (5)

Javed Iqbal, Muhammad Noor-ul-Amin, Imad Khan, Salman A. AlQahtani, Uzma Yasmeen & Bakhtyar Ahmad. (2023) A novel Bayesian Max-EWMA control chart for jointly monitoring the process mean and variance: an application to hard bake process. Scientific Reports 13:1.
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Faiza Asif & Muhammad Noor‐ul‐Amin. (2022) Adaptive risk adjusted exponentially weighted moving average control chart based on accelerated failure time regression. Quality and Reliability Engineering International 38:8, pages 4169-4181.
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Zahra Jalilibal, Amirhossein Amiri & Michael B.C. Khoo. (2022) A literature review on joint control schemes in statistical process monitoring. Quality and Reliability Engineering International 38:6, pages 3270-3289.
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Qi Li, Jun Yang, Shuo Huang & Yu Zhao. (2022) Generally weighted moving average control chart for monitoring two-parameter exponential distribution with measurement errors. Computers & Industrial Engineering 165, pages 107902.
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Amjad Javaid, Muhammad Noor‐ul‐Amin & Muhammad Hanif. (2021) Maximum hybrid exponentially weighted moving average control chart in the presence of measurement error by using auxiliary information. Quality and Reliability Engineering International 37:8, pages 3262-3281.
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