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Original Articles

Multivariate Exponentially Weighted Moving Average Charts for a Mean Based on Its Prediction Distribution

Pages 2942-2960 | Received 02 Mar 2009, Accepted 07 Jul 2009, Published online: 09 Aug 2010

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Read on this site (5)

Sajid Ali. (2020) A predictive Bayesian approach to EWMA and CUSUM charts for time-between-events monitoring. Journal of Statistical Computation and Simulation 90:16, pages 3025-3050.
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R. van Zyl & A. J. van der Merwe. (2019) Bayesian process monitoring schemes for the two-parameter exponential distribution. Communications in Statistics - Theory and Methods 48:7, pages 1766-1797.
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R. van Zyl & A. J. van der Merwe. (2017) A Bayesian control chart for a common coefficient of variation. Communications in Statistics - Theory and Methods 46:12, pages 5795-5811.
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William H. Woodall, Meng J. Zhao, Kamran Paynabar, Ross Sparks & James D. Wilson. (2017) An overview and perspective on social network monitoring. IISE Transactions 49:3, pages 354-365.
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Ulrich Menzefricke. (2013) Combined Exponentially Weighted Moving Average Charts for the Mean and Variance Based on the Predictive Distribution. Communications in Statistics - Theory and Methods 42:22, pages 4003-4016.
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Articles from other publishers (4)

Razieh Seirani, Mohsen Torabian, Mohammad Hassan Behzadi & Asghar Seif. (2023) Economic–statistical design of Bayesian X‾ control chart based on the predictive distribution. International Journal of Quality & Reliability Management.
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Ge Yu, Zixiao Zhang & Xi Zhang. (2022) SCD-CA: Stable Concept Drift Learning Based on Correlation Alignment for Streaming Data Forecasting. SCD-CA: Stable Concept Drift Learning Based on Correlation Alignment for Streaming Data Forecasting.
Sajid Ali, Antonio Pievatolo & Rainer Göb. (2016) An Overview of Control Charts for High-quality Processes. Quality and Reliability Engineering International 32:7, pages 2171-2189.
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Stelios Psarakis, Angeliki K. Vyniou & Philippe Castagliola. (2014) Some Recent Developments on the Effects of Parameter Estimation on Control Charts. Quality and Reliability Engineering International 30:8, pages 1113-1129.
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