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Original Articles

A FAST INITIAL RESPONSE SCHEME FOR THE EXPONENTIALLY WEIGHTED MOVING AVERAGE CONTROL CHART

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Pages 317-327 | Published online: 19 Oct 2007

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Zhi Song, Amitava Mukherjee & Jiujun Zhang. (2020) An efficient approach of designing distribution-free exponentially weighted moving average schemes with dynamic fast initial response for joint monitoring of location and scale. Journal of Statistical Computation and Simulation 90:13, pages 2329-2353.
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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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Abdul Haq, Zain Ul Abidin & Michael B. C. Khoo. (2019) An enhanced EWMA- control chart for monitoring the process mean. Communications in Statistics - Theory and Methods 48:6, pages 1333-1350.
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Rizwan Ali & Abdul Haq. (2018) A mixed GWMA–CUSUM control chart for monitoring the process mean. Communications in Statistics - Theory and Methods 47:15, pages 3779-3801.
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Muhammad Awais & Abdul Haq. (2018) An EWMA chart for monitoring process mean. Journal of Statistical Computation and Simulation 88:5, pages 1003-1025.
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Shin-Li Lu. (2016) Applying fast initial response features on GWMA control charts for monitoring autocorrelation data. Communications in Statistics - Theory and Methods 45:11, pages 3344-3356.
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Sven Knoth. (2015) Run length quantiles of EWMA control charts monitoring normal mean or/and variance. International Journal of Production Research 53:15, pages 4629-4647.
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Nasir Abbas, Muhammad Riaz & Ronald J. M. M. Does. (2014) An EWMA-Type Control Chart for Monitoring the Process Mean Using Auxiliary Information. Communications in Statistics - Theory and Methods 43:16, pages 3485-3498.
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Michael B. C. Khoo, V.H. Wong, Zhang Wu & Philippe Castagliola. (2012) Optimal design of the synthetic chart for the process mean based on median run length. IIE Transactions 44:9, pages 765-779.
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MichaelB.C. Khoo, How Chinh Lee, Zhang Wu, Chung-Ho Chen & Philippe Castagliola. (2010) A synthetic double sampling control chart for the process mean. IIE Transactions 43:1, pages 23-38.
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Mahmoud A. Mahmoud, J. P. Morgan & William H. Woodall. (2010) The monitoring of simple linear regression profiles with two observations per sample. Journal of Applied Statistics 37:8, pages 1249-1263.
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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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Wen-Chih Chiu & Shey-Huei Sheu. (2008) Fast Initial Response Features for Poisson GWMA Control Charts. Communications in Statistics - Simulation and Computation 37:7, pages 1422-1439.
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Stefan H. Steiner. (1999) EWMA Control Charts with Time-Varying Control Limits and Fast Initial Response. Journal of Quality Technology 31:1, pages 75-86.
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Articles from other publishers (15)

Peh Sang Ng, Yu Jia Lau, Huai Tein Lim & Wai Chung Yeong. 2022. Proceedings of the 11th International Conference on Robotics, Vision, Signal Processing and Power Applications. Proceedings of the 11th International Conference on Robotics, Vision, Signal Processing and Power Applications 677 683 .
Sven Knoth, Víctor G. Tercero‐Gómez, Marzieh Khakifirooz & William H. Woodall. (2021) The impracticality of homogeneously weighted moving average and progressive mean control chart approaches. Quality and Reliability Engineering International 37:8, pages 3779-3794.
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Abdul Haq & Waqas Munir. (2021) New CUSUM and Shewhart‐CUSUM charts for monitoring the process mean. Quality and Reliability Engineering International 37:8, pages 3512-3528.
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Tokelo Irene Letshedi, Jean‐Claude Malela‐Majika, Philippe Castagliola & Sandile Charles Shongwe. (2021) Distribution‐free triple EWMA control chart for monitoring the process location using the Wilcoxon rank‐sum statistic with fast initial response feature. Quality and Reliability Engineering International 37:5, pages 1996-2013.
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Subhabrata Chakraborti & Marien Alet Graham. 2019. Nonparametric Statistical Process Control. Nonparametric Statistical Process Control 413 424 .
Jean-Claude Malela-Majika, Olatunde Adebayo Adeoti & Eeva Rapoo. (2018) An EWMA control chart based on the Wilcoxon rank-sum statistic using repetitive sampling. International Journal of Quality & Reliability Management 35:3, pages 711-728.
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Ridwan A. Sanusi, Muhammad Riaz, Nurudeen A. Adegoke & Min Xie. (2017) An EWMA monitoring scheme with a single auxiliary variable for industrial processes. Computers & Industrial Engineering 114, pages 1-10.
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Thomas Fehlmann & Eberhard Kranich. (2014) Exponentially Weighted Moving Average (EWMA) Prediction in the Software Development Process. Exponentially Weighted Moving Average (EWMA) Prediction in the Software Development Process.
Abdul Haq, Jennifer Brown & Elena Moltchanova. (2014) Improved Fast Initial Response Features for Exponentially Weighted Moving Average and Cumulative Sum Control Charts. Quality and Reliability Engineering International 30:5, pages 697-710.
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Michael B. C. Khoo, V. H. Wong, Zhang Wu & Philippe Castagliola. (2011) Optimal designs of the multivariate synthetic chart for monitoring the process mean vector based on median run length. Quality and Reliability Engineering International 27:8, pages 981-997.
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Saddam Akber Abbasi & Arden Miller. 2011. Electrical Engineering and Applied Computing. Electrical Engineering and Applied Computing 431 443 .
Philippe Castagliola. (2005) A NewS2-EWMA Control Chart for Monitoring the Process Variance. Quality and Reliability Engineering International 21:8, pages 781-794.
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PHILIPPE CASTAGLIOLA. (2011) A R-EWMA CONTROL CHART FOR MONITORING THE PROCESS RANGE. International Journal of Reliability, Quality and Safety Engineering 12:01, pages 31-49.
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Seven Knoth. (2005) Fast initial response features for EWMA control charts. Statistical Papers 46:1, pages 47-64.
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M.B.C. Khoo. (2004) Some control charts for the process mean and variance based on Downton's estimator. Some control charts for the process mean and variance based on Downton's estimator.

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