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Journal of Quality Technology
A Quarterly Journal of Methods, Applications and Related Topics
Volume 40, 2008 - Issue 4
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Articles

Robustness Comparison of Exponentially Weighted Moving-Average Charts on Autocorrelated Data and on Residuals

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Pages 428-447 | Published online: 21 Nov 2017

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Yuhui Yao, Subha Chakraborti, Xin Yang, Jason Parton, Dwight Lewis$suffix/text()$suffix/text() & Matthew Hudnall. (2023) Phase I control chart for individual autocorrelated data: application to prescription opioid monitoring. Journal of Quality Technology 55:3, pages 302-317.
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Scott D. Grimshaw. (2022) A consistent data model for different data granularity in control charts. Quality Engineering 34:2, pages 290-303.
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Wendong Li, Fugee Tsung, Zhenli Song, Ke Zhang & Dongdong Xiang. (2021) Multi-sensor based landslide monitoring via transfer learning. Journal of Quality Technology 53:5, pages 474-487.
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Li Xue & Peihua Qiu. (2021) A nonparametric CUSUM chart for monitoring multivariate serially correlated processes. Journal of Quality Technology 53:4, pages 396-409.
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Peihua Qiu, Wendong Li & Jun Li. (2020) A New Process Control Chart for Monitoring Short-Range Serially Correlated Data. Technometrics 62:1, pages 71-83.
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Canan Bilen, Anakaorn Khan & Wichai Chattinnawat. (2017) Dual-monitoring scheme for multivariate autocorrelated cascade processes with EWMA and MEWMA charts. Quality Technology & Quantitative Management 14:2, pages 156-177.
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Daniel W. Apley. (2010) Comment. Technometrics 52:3, pages 277-280.
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Xiulin Xie & Peihua Qiu. 2023. Artificial Intelligence for Smart Manufacturing. Artificial Intelligence for Smart Manufacturing 65 82 .
Xiulin Xie & Peihua Qiu. (2022) Robust monitoring of multivariate processes with short‐ranged serial data correlation. Quality and Reliability Engineering International 38:8, pages 4196-4209.
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Cang Wu, Shubin Si, Wenpo Huang & Wei Jiang. (2022) Copula-based CUSUM charts for monitoring infectious disease using Markovian Poisson processes. Computers & Industrial Engineering 172, pages 108536.
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Qin Zhou & Peihua Qiu. (2021) Phase I monitoring of serially correlated nonparametric profiles by mixed‐effects modeling. Quality and Reliability Engineering International 38:1, pages 134-152.
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Olgierd Hryniewicz & Katarzyna Kaczmarek-Majer. 2019. Soft Modeling in Industrial Manufacturing. Soft Modeling in Industrial Manufacturing 149 170 .
Olgierd Hryniewicz & Katarzyna Kaczmarek-Majer. 2018. Frontiers in Statistical Quality Control 12. Frontiers in Statistical Quality Control 12 233 255 .
Sanghun Ahn, Hoon Kang, Jaehoon Cho, Tae-Ok Kim & Dongil Shin. (2015) Forecasting Model Design of Fire Occurrences with ARIMA Models. Journal of the Korean Institute of Gas 19:2, pages 20-28.
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John L Moran & Patricia J Solomon. (2013) Statistical process control of mortality series in the Australian and New Zealand Intensive Care Society (ANZICS) adult patient database: implications of the data generating process. BMC Medical Research Methodology 13:1.
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Thomas P. Ryan. 2011. Statistical Methods for Quality Improvement. Statistical Methods for Quality Improvement 353 384 .
Hyun Cheol Lee & Daniel W. Apley. (2011) Improved design of robust exponentially weighted moving average control charts for autocorrelated processes. Quality and Reliability Engineering International 27:3, pages 337-352.
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John L. Moran & Patricia J. Solomon. (2010) Conventional and advanced time series estimation: application to the Australian and New Zealand Intensive Care Society (ANZICS) adult patient database, 1993–2006. Journal of Evaluation in Clinical Practice 17:1, pages 45-60.
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Daniel W. Apley & Hyun Cheol Lee. (2010) The effects of model parameter deviations on the variance of a linearly filtered time series. Naval Research Logistics (NRL) 57:5, pages 460-471.
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