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Journal of Quality Technology
A Quarterly Journal of Methods, Applications and Related Topics
Volume 34, 2002 - Issue 2
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Articles

A CUSUM Scheme for Autocorrelated Observations

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Pages 187-199 | Published online: 20 Feb 2018

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Read on this site (9)

Cang Wu & Shubin Si. (2022) Bivariate copula-based CUSUM charts for monitoring conditional nonlinear processes with first-order autocorrelation. Journal of Statistical Computation and Simulation 92:16, pages 3373-3399.
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Jian Li, Qiang Zhou & Dong Ding. (2020) Efficient monitoring of autocorrelated Poisson counts. IISE Transactions 52:7, pages 769-779.
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Jian Li, Jiakun Xu & Qiang Zhou. (2018) Monitoring serially dependent categorical processes with ordinal information. IISE Transactions 50:7, pages 596-605.
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Jian Li & Qiang Zhou. (2017) A General Approach for Monitoring Serially Dependent Categorical Processes. Journal of Quality Technology 49:4, pages 365-379.
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Shui-Pin Lee, David Shan-Hill Wong, Cheng-I Sun, Wun-Hwa Chen & Shi-Shang Jang. (2015) Integrated statistical process control and engineering process control for a manufacturing process with multiple tools and multiple products. Journal of Industrial and Production Engineering 32:3, pages 174-185.
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Seoung Bum Kim, Weerawat Jitpitaklert & Thuntee Sukchotrat. (2010) One-Class Classification-Based Control Charts for Monitoring Autocorrelated Multivariate Processes. Communications in Statistics - Simulation and Computation 39:3, pages 461-474.
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Christian H. Weiß & Murat Caner Testik. (2009) CUSUM Monitoring of First-Order Integer-Valued Autoregressive Processes of Poisson Counts. Journal of Quality Technology 41:4, pages 389-400.
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John N. Dyer, Benjamin M. Adams & Michael D. Conerly. (2003) The Reverse Moving Average Control Chart for Monitoring Autocorrelated Processes. Journal of Quality Technology 35:2, pages 139-152.
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George C. Runger. (2002) Assignable Causes and Autocorrelation: Control Charts for Observations or Residuals?. Journal of Quality Technology 34:2, pages 165-170.
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Articles from other publishers (22)

Ercan ALTAN & Gökhan ORHAN. (2023) BİR POLİTİKA TRANSFERİ ÖRNEĞİ OLARAK TÜRK MİLLİ EĞİTİM SİSTEMİNDE REHBERLİK VE PSİKOLOJİK DANIŞMA HİZMETLERİ. Kamu Yönetimi ve Politikaları Dergisi 4:3, pages 359-396.
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Kung‐Jeng Wang & Luh Juni Asrini. (2023) Multivariate auto‐correlated process control by a residual‐based mixed CUSUM‐EWMA model. Quality and Reliability Engineering International 39:4, pages 1120-1142.
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Kung-Jeng Wang & Luh Juni Asrini. (2022) Deep learning-based automatic optical inspection system empowered by online multivariate autocorrelated process control. The International Journal of Advanced Manufacturing Technology 120:9-10, pages 6143-6162.
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Yupaporn Areepong & Wilasinee Peerajit. (2022) Integral equation solutions for the average run length for monitoring shifts in the mean of a generalized seasonal ARFIMAX(P, D, Q, r)s process running on a CUSUM control chart. PLOS ONE 17:2, pages e0264283.
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Huseyin Afser & Seyhun Barbaros Yabaci. (2020) Autocorrelation-Based Quickest Change Detection. IEEE Communications Letters 24:12, pages 2913-2916.
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Clive Beggs & Alexander John Bond. (2020) A CUSUM tool for retrospectively evaluating team performance: the case of the English Premier League. Sport, Business and Management: An International Journal 10:3, pages 263-289.
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Suyi Li & Wenjia Wang. (2016) A study on the performance of Lambda Control Chart for autocorrelated processes. A study on the performance of Lambda Control Chart for autocorrelated processes.
Changha Hwang. (2016) Multioutput LS-SVR based residual MCUSUM control chart for autocorrelated process. Journal of the Korean Data and Information Science Society 27:2, pages 523-530.
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Xuan Huang, Søren Bisgaard & Nuo Xu. (2014) Model-based Multivariate Monitoring Charts for Autocorrelated Processes. Quality and Reliability Engineering International 30:4, pages 527-543.
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Rita Peñabaena Niebles, Oscar Oviedo-Trespalacios, Katherine Ramírez & Melissa Morón. (2014) Diseño Económico-Estadístico de Cartas con Parámetros Variables Totalmente Adaptativas en Presencia de Datos Autocorrelacionados. Revista Iberoamericana de Automática e Informática Industrial RIAI 11:2, pages 247-255.
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Shichang Du & Jun Lv. (2013) Minimal Euclidean distance chart based on support vector regression for monitoring mean shifts of auto-correlated processes. International Journal of Production Economics 141:1, pages 377-387.
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Seyed Taghi Akhavan Niaki & Shirin Akbari Nasaji. (2011) A hybrid method of artificial neural networks and simulated annealing in monitoring auto-correlated multi-attribute processes. The International Journal of Advanced Manufacturing Technology 56:5-8, pages 777-788.
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Thomas P. Ryan. 2011. Statistical Methods for Quality Improvement. Statistical Methods for Quality Improvement 353 384 .
Fujee Tsung & Kaibo Wang. 2010. Frontiers in Statistical Quality Control 9. Frontiers in Statistical Quality Control 9 19 35 .
George E. P. Box, Alberto Luceño & María Del Carmen Paniagua‐Quiñones. 2009. Statistical Control by Monitoring and Adjustment. Statistical Control by Monitoring and Adjustment 307 320 .
Scott A. Dellana & David West. (2009) Predictive modeling for wastewater applications: Linear and nonlinear approaches. Environmental Modelling & Software 24:1, pages 96-106.
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Ben Khediri Issam & Limam Mohamed. (2008) Support vector regression based residual MCUSUM control chart for autocorrelated process. Applied Mathematics and Computation 201:1-2, pages 565-574.
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Keoagile Thaga. (2008) Control Chart for Autocorrelated Processes with Heavy Tailed Distributions. Economic Quality Control 23:2.
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Jamal Arkat, Seyed Taghi Akhavan Niaki & Babak Abbasi. (2007) Artificial neural networks in applying MCUSUM residuals charts for AR(1) processes. Applied Mathematics and Computation 189:2, pages 1889-1901.
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Stewart Robinson. (2007) A statistical process control approach to selecting a warm-up period for a discrete-event simulation. European Journal of Operational Research 176:1, pages 332-346.
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David E. Booth, Thomas L Isenhour, John K. MahaneyJrJr, Michael Suh & Christine Wright. 2003. Handbook of Chemoinformatics. Handbook of Chemoinformatics 410 422 .
Thomas K. Philips, Emmanuel Yashchin & David M. Stein. (2003) Using Statistical Process Control to Monitor Active Managers. SSRN Electronic Journal.
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