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M. Pear Hossain, M. Hafidz Omar, Muhammad Riaz & Sheikh Y. Arafat. (2022) On designing a new control chart for Rayleigh distributed processes with an application to monitor glass fiber strength. Communications in Statistics - Simulation and Computation 51:6, pages 3168-3184.
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Shervin Asadzadeh. (2022) Statistical process control based on gamma-frailty models for heterogeneous reliability observations. Journal of Statistical Computation and Simulation 92:2, pages 337-351.
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Maryam Keshavarz, Shervin Asadzadeh & Seyed Taghi Akhavan Niaki. (2021) Risk-adjusted frailty-based CUSUM control chart for phase I monitoring of patients’ lifetime. Journal of Statistical Computation and Simulation 91:2, pages 334-352.
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Articles from other publishers (4)
Faisal Shah, Zahid Khan, Muhammad Aslam & Seifedine Kadry. (2021)
Statistical Development of the
-Control Chart for Extreme Data with an Application to the Carbon Fiber Industry
. Mathematical Problems in Engineering 2021, pages 1-11.
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Su-Fen Yang & Shan-Wen Lu. 2021. Frontiers in Statistical Quality Control 13. Frontiers in Statistical Quality Control 13
65
76
.
Su-Fen Yang & Lijuan Shen. (2020) Loss-Based Control Charts for Monitoring Non-Normal Process Data. IEEE Access 8, pages 91163-91169.
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Luxi Zou, Huaibo Li, Shuo Wang, Kaikai Zheng, Yan Wang, Guocheng Du & Ji Li. (2019) Characteristic and correlation analysis of influent and energy consumption of wastewater treatment plants in Taihu Basin. Frontiers of Environmental Science & Engineering 13:6.
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