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Article

Improved simultaneous monitoring of mean and coefficient of variation under ranked set sampling schemes

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Pages 4410-4426 | Received 05 Sep 2019, Accepted 08 Mar 2020, Published online: 26 Apr 2020

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W. C. Yeong, Sok Li Lim, Michael B. C. Khoo, Peh Sang Ng & Z. L. Chong. (2022) A variable sampling interval run sum chart for the coefficient of variation. Journal of Statistical Computation and Simulation 92:15, pages 3150-3166.
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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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Sadaf Ayesha, Asma Arshad, Olayan Albalawi, Aiedh Mrisi Alharthi, Muhammad Hanif, Uzma Yasmeen & Muhammad Nabi. (2024) New adaptive EWMA CV control chart with application to the sintering process. Scientific Reports 14:1.
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Atieh Mohammadkhani, Amirhossein Amiri & Michael B. C. Khoo. (2023) A review of ranked set sampling and modified methods in designing control charts. Quality and Reliability Engineering International 39:4, pages 1465-1493.
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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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Muhammad Noor-ul-Amin, Afshan Riaz & Amer Ibrahim Al-Omari. (2021) Adaptive Exponentially Weighted Moving Average Control Chart for Monitoring Process Mean Under Ranked Set Sampling Schemes. Iranian Journal of Science and Technology, Transactions A: Science 45:5, pages 1777-1787.
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Saber Ali, Zameer Abbas, Hafiz Zafar Nazir, Muhammad Riaz, Xingfa Zhang & Yuan Li. (2021) On developing sensitive nonparametric mixed control charts with application to manufacturing industry. Quality and Reliability Engineering International 37:6, pages 2699-2723.
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Muhammad Noor‐ul‐Amin & Surria Noor. (2020) An adaptive EWMA control chart for monitoring the process mean in Bayesian theory under different loss functions. Quality and Reliability Engineering International 37:2, pages 804-819.
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