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Journal of Applied Statistics Volume 36, 2009 - Issue 3
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Original Articles

Generally weighted moving average control charts with fast initial response features

Wen-Chih Chiu Department of Industrial Management, Aletheia University, Taipei, Taiwan, ROCCorrespondence[email protected]
Pages 255-275 | Received 26 Feb 2008, Published online: 18 Mar 2009

Citations (14)

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Read on this site (5)

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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Muhammad Awais & Abdul Haq. (2018) A new cumulative sum control chart for monitoring the process mean using varied L ranked set sampling. Journal of Industrial and Production Engineering 35:2, pages 74-90.
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Muhammad Aslam, Ali Hussein Al-Marshadi & Chi-Hyuck Jun. (2017) Monitoring process mean using generally weighted moving average chart for exponentially distributed characteristics. Communications in Statistics - Simulation and Computation 46:5, pages 3712-3722.
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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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S.Y. Teh, MichaelB. C. Khoo & Zhang Wu. (2012) Monitoring Process Mean and Variance with a Single Generally Weighted Moving Average Chart. Communications in Statistics - Theory and Methods 41:12, pages 2221-2241.
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Articles from other publishers (9)

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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Maonatlala Thanwane, Saddam Akber Abbasi, Jean‐Claude Malela‐Majika, Muhammad Aslam & Sandile Charles Shongwe. (2021) The use of fast initial response features on the homogeneously weighted moving average chart with estimated parameters under the effect of measurement errors. Quality and Reliability Engineering International 37:6, pages 2568-2586.
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Kutele Mabude, Jean‐Claude Malela‐Majika, Philippe Castagliola & Sandile C. Shongwe. (2020) Generally weighted moving average monitoring schemes: Overview and perspectives. Quality and Reliability Engineering International 37:2, pages 409-432.
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Vasileios Alevizakos & Christos Koukouvinos. (2019) A generally weighted moving average control chart for zero‐inflated Poisson processes. Quality and Reliability Engineering International 36:2, pages 675-704.
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Shin-Li Lu. (2017) Novel design of composite generally weighted moving average and cumulative sum charts. Quality and Reliability Engineering International 33:8, pages 2397-2408.
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Saowanit Sukparungsee. (2016) Robustness of Memory-Type Charts to Skew Processes. International Journal of Applied Physics and Mathematics 6:4, pages 165-171.
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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.
Crossref
Saddam Akber Abbasi & Arden Miller. 2011. Electrical Engineering and Applied Computing. Electrical Engineering and Applied Computing 431 443 .

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