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Citations (10)
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Read on this site (4)
Pei-Hsi Lee, Chau-Chen Torng, Hao-Ren Jhong & Chao-Yu Chou. (2023) Monitoring the coefficient of variation using a double-sampling control chart. Communications in Statistics - Simulation and Computation 52:10, pages 4849-4863.
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Collen M. Motsepa, Jean-Claude Malela-Majika, Philippe Castagliola & Sandile C. Shongwe. (2023) Double sampling monitoring schemes: a literature review and some future research ideas. Communications in Statistics - Simulation and Computation 52:8, pages 3391-3419.
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Ming Ha Lee, Michael B. C. Khoo & Xinying Chew. (2020) Economic-statistical design of variable parameters s chart. Quality Technology & Quantitative Management 17:5, pages 580-591.
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Mehdi Katebi & Reza Pourtaheri. (2019) An economic statistical design of the Poisson EWMA control charts for monitoring nonconformities. Journal of Statistical Computation and Simulation 89:15, pages 2813-2830.
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Articles from other publishers (6)
Ali Salmasnia, Mohammad Reza Maleki & Mohadeseh Mirzaei. (2023) Double Sampling Adaptive Thresholding LASSO Variability Chart for Phase II Monitoring of High-Dimensional Data Streams. Journal of Industrial Integration and Management, pages 1-22.
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Moi Hua Tuh, Cynthia Mui Lian Kon, Hong Siang Chua, Man Fai Lau & Yee Hui Robin Chang. (2023) Evaluating the Performance of Synthetic Double Sampling np Chart Based on Expected Median Run Length. Mathematics 11:3, pages 595.
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Chenglong Li & Amitava Mukherjee. (2021) Two economically optimized nonparametric schemes for monitoring process variability. Quality and Reliability Engineering International 37:5, pages 1939-1955.
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Qiang Wan, Mei Zhu & Yan Liu. (2020) Monitoring the process mean using a synthetic X ¯ control chart with two sampling intervals. Journal of Intelligent & Fuzzy Systems 38:4, pages 4191-4203.
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Ming Ha Lee, Michael B. C. Khoo, XinYing Chew & Patrick H. H. Then. (2020) Economic-statistical design of synthetic np chart with estimated process parameter. PLOS ONE 15:4, pages e0230994.
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Jean-Claude Malela-Majika. (2019) Modified side-sensitive synthetic double sampling monitoring scheme for simultaneously monitoring the process mean and variability. Computers & Industrial Engineering 130, pages 798-814.
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