Citations (35)
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Kok Ming Chan, Zhi Lin Chong & Amitava Mukherjee. (2023) Exponentially weighted moving average Lepage-type schemes based on the lower-order percentile of the run-length metrics and their use in monitoring time-occupancy in Google applications. Quality Technology & Quantitative Management 20:5, pages 577-600.
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Vasileios Alevizakos, Kashinath Chatterjee & Christos Koukouvinos. (2023) The quadruple moving average control chart for monitoring the process mean. Communications in Statistics - Theory and Methods 52:9, pages 2882-2916.
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Vasileios Alevizakos, Kashinath Chatterjee & Christos Koukouvinos. (2023) Distribution-free Phase II triple EWMA control chart for joint monitoring the process location and scale parameters. Journal of Applied Statistics 0:0, pages 1-20.
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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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Nesma A. Saleh, Mahmoud A. Mahmoud, William H. Woodall & Sven Knoth. (2023) A review and critique of auxiliary information-based process monitoring methods. Quality Technology & Quantitative Management 20:1, pages 1-20.
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Amjad Javaid, Muhammad Noor-ul-Amin & Muhammad Hanif. (2023) Performance of Max-EWMA control chart for joint monitoring of mean and variance with measurement error. Communications in Statistics - Simulation and Computation 52:1, pages 1-26.
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Kashinath Chatterjee, Christos Koukouvinos & Angeliki Lappa. (2023) Monitoring process mean and dispersion with one double generally weighted moving average control chart. Journal of Applied Statistics 50:1, pages 19-42.
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Sven Knoth, Nesma A. Saleh, Mahmoud A. Mahmoud, William H. Woodall & Víctor G. Tercero-Gómez. (2023) A critique of a variety of “memory-based” process monitoring methods. Journal of Quality Technology 55:1, pages 18-42.
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K. Mabude, J.-C. Malela-Majika, P. Castagliola & S. C. Shongwe. (2022) Distribution-free mixed GWMA-CUSUM and CUSUM-GWMA Mann–Whitney charts to monitor unknown shifts in the process location. Communications in Statistics - Simulation and Computation 51:11, pages 6667-6690.
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Abdul Haq, Sana Ejaz & Michael B. C. Khoo. (2022) A new double EWMA-t chart for process mean. Communications in Statistics - Simulation and Computation 51:11, pages 6556-6571.
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Zameer Abbas, Hafiz Zafar Nazir, Noureen Akhtar, Muhammad Abid & Muhammad Riaz. (2022) Non-parametric progressive signed-rank control chart for monitoring the process location. Journal of Statistical Computation and Simulation 92:12, pages 2596-2622.
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Kashinath Chatterjee, Christos Koukouvinos & Angeliki Lappa. (2022) A joint monitoring of the process mean and variance with a TEWMA-Max control chart. Communications in Statistics - Theory and Methods 0:0, pages 1-27.
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Kashinath Chatterjee, Christos Koukouvinos & Angeliki Lappa. (2022) Monitoring process mean and variability with one triple EWMA chart. Communications in Statistics - Simulation and Computation 0:0, pages 1-31.
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Vasileios Alevizakos, Kashinath Chatterjee & Christos Koukouvinos. (2022) The quadruple exponentially weighted moving average control chart. Quality Technology & Quantitative Management 19:1, pages 50-73.
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Vasileios Alevizakos, Kashinath Chatterjee & Christos Koukouvinos. (2021) The triple exponentially weighted moving average control chart. Quality Technology & Quantitative Management 18:3, pages 326-354.
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Jean-Claude Malela-Majika. (2021) New distribution-free memory-type control charts based on the Wilcoxon rank-sum statistic. Quality Technology & Quantitative Management 18:2, pages 135-155.
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Chi-Jui Huang, Jen-Hsiang Chen & Shin-Li Lu. (2021) Generally weighted moving average control charts using repetitive sampling. Communications in Statistics - Theory and Methods 50:2, pages 297-310.
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Abdul Haq & Faiqa Razzaq. (2020) Maximum weighted adaptive CUSUM charts for simultaneous monitoring of process mean and variance. Journal of Statistical Computation and Simulation 90:16, pages 2949-2974.
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Vasileios Alevizakos & Christos Koukouvinos. (2020) A double exponentially weighted moving average chart for time between events. Communications in Statistics - Simulation and Computation 49:10, pages 2765-2784.
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Saddam Akber Abbasi, Muhammad Abid, Muhammad Riaz & Hafiz Zafar Nazir. (2020) Performance evaluation of moving average-based EWMA chart for exponentially distributed process. Journal of the Chinese Institute of Engineers 43:4, pages 365-372.
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Tahir Nawaz & Dong Han. (2020) Monitoring the process location by using new ranked set sampling-based memory control charts. Quality Technology & Quantitative Management 17:3, pages 255-284.
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Amjad Javaid, Muhammad Noor-ul-Amin & Muhammad Hanif. (2020) A new Max-HEWMA control chart using auxiliary information. Communications in Statistics - Simulation and Computation 49:5, pages 1285-1305.
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Olatunde A. Adeoti & Jean-Claude Malela-Majika. (2020) Double exponentially weighted moving average control chart with supplementary runs-rules. Quality Technology & Quantitative Management 17:2, pages 149-172.
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Shin-Li Lu. (2018) Non parametric double generally weighted moving average sign charts based on process proportion. Communications in Statistics - Theory and Methods 47:11, pages 2684-2700.
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Shin-Li Lu & Chi-Jui Huang. (2017) Statistically constrained economic design of maximum double EWMA control charts based on loss functions. Quality Technology & Quantitative Management 14:3, pages 280-295.
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Sangahn Kim, Myong K. Jeong & Elsayed A. Elsayed. (2017) Generalized smoothing parameters of a multivariate EWMA control chart. IISE Transactions 49:1, pages 58-69.
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Syed Muhammad Muslim Raza, Muhammad Riaz & Sajid Ali. (2015) On the performance of EWMA and DEWMA control charts for censored data. Journal of the Chinese Institute of Engineers 38:6, pages 714-722.
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Chi-Jui Huang & Shin-Li Lu. (2015) Considering Taguchi loss function on statistically constrained economic sum of squares exponentially weighted moving average charts. Journal of Statistical Computation and Simulation 85:3, pages 572-586.
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Zhonghua Li & Peihua Qiu. (2014) Statistical Process Control Using a Dynamic Sampling Scheme. Technometrics 56:3, pages 325-335.
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Ick Huh, Román Viveros-Aguilera & Narayanaswamy Balakrishnan. (2013) Differential Smoothing in the Bivariate Exponentially Weighted Moving Average Chart. Journal of Quality Technology 45:4, pages 377-393.
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MichaelB. C. Khoo, S.
Y. Teh & Zhang Wu. (2010) Monitoring Process Mean and Variability with One Double EWMA Chart. Communications in Statistics - Theory and Methods 39:20, pages 3678-3694.
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MahmoudA. Mahmoud & WilliamH. Woodall. (2010) An Evaluation of the Double Exponentially Weighted Moving Average Control Chart. Communications in Statistics - Simulation and Computation 39:5, pages 933-949.
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Wen-Chih Chiu. (2009) Generally weighted moving average control charts with fast initial response features. Journal of Applied Statistics 36:3, pages 255-275.
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Shey-Huei Sheu & Yu-Tai Hsieh. (2009) The extended GWMA control chart. Journal of Applied Statistics 36:2, pages 135-147.
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Michael
B. C. Khoo & V. H. Wong. (2008) A Double Moving Average Control Chart. Communications in Statistics - Simulation and Computation 37:8, pages 1696-1708.
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