Citations (233)
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Abdul Haq. (2023) An adaptive EWMA mean chart in the presence of outliers. Quality Technology & Quantitative Management 0:0, pages 1-16.
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Daewon Yang, Jinsu Park, Hayang Park, Sungki Hong, Jongmin Kim, Seonghui Huh, Eunkyung Kim, Jaeyong Jeong & Yeonseung Chung. (2023) Robust control chart based on mixed-effects modeling framework: A case study in NAND flash memory industry. Quality Engineering 0:0, pages 1-11.
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Longcheen Huwang, Arthur B. Yeh & Yi-Wen Wang. (2023) A new phase II change-point detection based EWMA chart for monitoring and diagnostics of linear profiles. Quality Technology & Quantitative Management 0:0, pages 1-45.
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Sangjo Lee & Sangyeol Lee. (2023) Statistical process monitoring for vector autoregressive time series based on location-scale CUSUM method. Quality Engineering 35:3, pages 493-518.
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Poune Ghasemian & Rassoul Noorossana. (2023) The Inertial properties of EWMA control charts. Communications in Statistics - Theory and Methods 0:0, pages 1-14.
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Zameer Abbas, Hafiz Zafar Nazir, Saddam Akber Abbasi, Muhammad Riaz & Dongdong Xiang. (2023) On designing efficient memory-type charts using multiple auxiliary-information. Journal of Statistical Computation and Simulation 93:4, pages 646-670.
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Sven Knoth, Nesma A. Saleh, Mahmoud A. Mahmoud, William H. Woodall & Víctor G. Tercero-Gómez. (2023) A critique of a variety of “memory-based” process monitoring methods. Journal of Quality Technology 55:1, pages 18-42.
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Ross Stewart Sparks. (2022) Selecting the rational subgroup is crucial in developing a robust monitoring plan for dispersion of normally distributed data. Communications in Statistics - Simulation and Computation 51:12, pages 6925-6935.
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Abdul Haq, Sana Ejaz & Michael B. C. Khoo. (2022) A new double EWMA-t chart for process mean. Communications in Statistics - Simulation and Computation 51:11, pages 6556-6571.
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Asma Arshad, Muhammad Noor-ul-Amin, Eralp Dogu & Muhammad Hanif. (2022) Performance of function-based AEWMA coefficient of variation control chart with measurement errors. Communications in Statistics - Simulation and Computation 0:0, pages 1-23.
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FuPeng Xie, Philippe Castagliola, Zhonghua Li, JinSheng Sun & XueLong Hu. (2022) One-sided Adaptive Truncated Exponentially Weighted Moving Average X¯ Schemes for Detecting Process Mean Shifts. Quality Technology & Quantitative Management 19:5, pages 533-561.
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Abdul Haq, Haleema Sadia & Michael B.C. Khoo. (2022) A parameter-free adaptive EWMA chart with variable sample sizes and variable sampling intervals for the process mean. Journal of Statistical Computation and Simulation 92:13, pages 2802-2828.
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Abdul Haq. (2022) Adaptive MEWMA charts for univariate and multivariate simple linear profiles. Communications in Statistics - Theory and Methods 51:16, pages 5383-5411.
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Abdul Haq & Shareen Akhtar. (2022) Auxiliary information based maximum EWMA and DEWMA charts with variable sampling intervals for process mean and variance. Communications in Statistics - Theory and Methods 51:12, pages 3985-4005.
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O. Arda Vanli & Rupert Giroux. (2022) An adaptive cumulative sum method for monitoring integer-valued time-series data. Quality Engineering 34:2, pages 230-247.
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Aya A. Aly, Nesma A. Saleh & Mahmoud A. Mahmoud. (2022) An adaptive EWMA control chart for monitoring zero-inflated Poisson processes. Communications in Statistics - Simulation and Computation 51:4, pages 1564-1577.
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Vasileios Alevizakos, Kashinath Chatterjee & Christos Koukouvinos. (2022) The quadruple exponentially weighted moving average control chart. Quality Technology & Quantitative Management 19:1, pages 50-73.
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Aya A. Aly, Nesma A. Saleh & Mahmoud A. Mahmoud. (2021) An adaptive exponentially weighted moving average control chart for poisson processes. Quality Engineering 33:4, pages 627-640.
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Longcheen Huwang, Cheng-Han Wu & Yan-Ru Lee. (2021) EWMA and adaptive EWMA variable sampling intervals charts for simultaneous monitoring of Weibull parameters. Quality Technology & Quantitative Management 18:5, pages 552-575.
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Wei Zhao, Zhijun Wang & Chunjie Wu. (2021) Adaptive multivariate EWMA charts for monitoring sparse mean shifts based on parameter optimization design. Journal of Statistical Computation and Simulation 91:13, pages 2670-2683.
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Muhammad Noor-ul-Amin & Afshan Riaz. (2021) Performance of adaptive exponentially weighted moving average control chart in the presence of measurement error. Journal of Statistical Computation and Simulation 91:11, pages 2328-2343.
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Kai Yang & Peihua Qiu. (2021) Adaptive Process Monitoring Using Covariate Information. Technometrics 63:3, pages 313-328.
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Vasileios Alevizakos, Kashinath Chatterjee & Christos Koukouvinos. (2021) The triple exponentially weighted moving average control chart. Quality Technology & Quantitative Management 18:3, pages 326-354.
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XueLong Hu, Philippe Castagliola, JianLan Zhong, AnAn Tang & YuLong Qiao. (2021) On the performance of the adaptive EWMA chart for monitoring time between events. Journal of Statistical Computation and Simulation 91:6, pages 1175-1211.
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Ross Sparks & Hossein Hazrati-Marangaloo. (2021) Aggregation levels when the time between events is Weibull distributed. Quality Engineering 33:2, pages 348-360.
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Jean-Claude Malela-Majika. (2021) New distribution-free memory-type control charts based on the Wilcoxon rank-sum statistic. Quality Technology & Quantitative Management 18:2, pages 135-155.
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Imen Baklouti, Majdi Mansouri, Ahmed Ben Hamida, Hazem Numan Nounou & Mohamed Nounou. (2021) Enhanced operation of wastewater treatment plant using state estimation-based fault detection strategies. International Journal of Control 94:2, pages 300-311.
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Willy Ugaz, Andrés M. Alonso & Ismael Sánchez. (2021) Adaptive EWMA-S2 control charts with adaptive smoothing parameter. Quality Engineering 33:1, pages 100-112.
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Ross Stewart Sparks. (2021) A review of some sampling and aggregation strategies for basic statistical process monitoring: Discussion by Ross Sparks. Journal of Quality Technology 53:1, pages 23-25.
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Saba Abbasi & Abdul Haq. (2020) New adaptive CUSUM charts for process mean. Communications in Statistics - Simulation and Computation 49:11, pages 2944-2962.
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Abdul Haq & Faiqa Razzaq. (2020) Maximum weighted adaptive CUSUM charts for simultaneous monitoring of process mean and variance. Journal of Statistical Computation and Simulation 90:16, pages 2949-2974.
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Abdul Haq & Michael B. C. Khoo. (2020) A parameter-free adaptive EWMA mean chart. Quality Technology & Quantitative Management 17:5, pages 528-543.
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Abdul Haq & Michael B. C. Khoo. (2020) Multivariate process dispersion monitoring without subgrouping. Journal of Applied Statistics 47:9, pages 1652-1675.
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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. (2020) A maximum adaptive exponentially weighted moving average control chart for monitoring process mean and variability. Quality Technology & Quantitative Management 17:1, pages 16-31.
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Mehdi Katebi & Reza Pourtaheri. (2019) An economic statistical design of the Poisson EWMA control charts for monitoring nonconformities. Journal of Statistical Computation and Simulation 89:15, pages 2813-2830.
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Ross Sparks & James D. Wilson. (2019) Monitoring communication outbreaks among an unknown team of actors in dynamic networks. Journal of Quality Technology 51:4, pages 353-374.
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Saba Abbasi & Abdul Haq. (2019) Enhanced adaptive CUSUM charts for process mean. Journal of Statistical Computation and Simulation 89:13, pages 2562-2582.
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Anan Tang, Philippe Castagliola, Jinsheng Sun & Xuelong Hu. (2019) Optimal design of the adaptive EWMA chart for the mean based on median run length and expected median run length. Quality Technology & Quantitative Management 16:4, pages 439-458.
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Nasrullah Khan & Muhammad Aslam. (2019) Design of an EWMA adaptive control chart using MDS sampling. Journal of Statistics and Management Systems 22:3, pages 535-555.
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Anan Tang, Philippe Castagliola, Xuelong Hu & Jinsheng Sun. (2019) The adaptive EWMA median chart for known and estimated parameters. Journal of Statistical Computation and Simulation 89:5, pages 844-863.
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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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Ross Sparks, Brian Jin, Sarvnaz Karimi, Cecile Paris & C. R. MacIntyre. (2019) Real-time monitoring of events applied to syndromic surveillance. Quality Engineering 31:1, pages 73-90.
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Abdul Haq. (2018) A new adaptive EWMA control chart using auxiliary information for monitoring the process mean. Communications in Statistics - Theory and Methods 47:19, pages 4840-4858.
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Peihua Qiu, Xuemin Zi & Changliang Zou. (2018) Nonparametric Dynamic Curve Monitoring. Technometrics 60:3, pages 386-397.
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Eugenio K. Epprecht, Francisco Aparisi & Omar Ruiz. (2018) Optimum variable-dimension EWMA chart for multivariate statistical process control. Quality Engineering 30:2, pages 268-282.
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Shashibhushan B. Mahadik. (2017) A unified approach to adaptive Shewhart control charts. Communications in Statistics - Theory and Methods 46:20, pages 10272-10293.
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Aya A. Aly, Ramadan M. Hamed & Mahmoud A. Mahmoud. (2017) Optimal design of the adaptive exponentially weighted moving average control chart over a range of mean shifts. Communications in Statistics - Simulation and Computation 46:2, pages 890-902.
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R. Zheng & S. Chakraborti. (2016) A Phase II nonparametric adaptive exponentially weighted moving average control chart. Quality Engineering 28:4, pages 476-490.
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Nan Chen, Xuemin Zi & Changliang Zou. (2016) A Distribution-Free Multivariate Control Chart. Technometrics 58:4, pages 448-459.
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Chen-ju Lin & Yi-chun Shu. (2015) Detecting clusters with increased mean using scan windows with variable radius. Journal of Applied Statistics 42:11, pages 2420-2431.
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Abdul Haq, Jennifer Brown, Elena Moltchanova & Amer Ibrahim Al-Omari. (2015) Effect of measurement error on exponentially weighted moving average control charts under ranked set sampling schemes. Journal of Statistical Computation and Simulation 85:6, pages 1224-1246.
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Liu Liu, Jian Zhang & Xuemin Zi. (2015) Dual Nonparametric CUSUM Control Chart Based on Ranks. Communications in Statistics - Simulation and Computation 44:3, pages 756-772.
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J. Kim, K.N. Al-Khalifa, M.K. Jeong, A.M.S. Hamouda & E.A. Elsayed. (2014) Multivariate statistical process control charts based on the approximate sequential χ2 test. International Journal of Production Research 52:18, pages 5514-5527.
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Lianjie Shu, Yan Su, Wei Jiang & Kwok-Leung Tsui. (2014) A comparison of exponentially weighted moving average-based methods for monitoring increases in incidence rate with varying population size. IIE Transactions 46:8, pages 798-812.
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Zhonghua Li, Changliang Zou, Zhen Gong & Zhaojun Wang. (2014) The computation of average run length and average time to signal: an overview. Journal of Statistical Computation and Simulation 84:8, pages 1779-1802.
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Qin Zhou, Wenpo Huang & Lianjie Shu. (2014) A comparison of weighted CUSUM procedures for monitoring process proportions with varying sample sizes. International Journal of Production Research 52:11, pages 3225-3238.
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Wenpo Huang, Lianjie Shu & Yan Su. (2014) An accurate evaluation of adaptive exponentially weighted moving average schemes. IIE Transactions 46:5, pages 457-469.
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Douglas
M. Hawkins & Qifan Wu. (2014) The CUSUM and the EWMA Head-to-Head. Quality Engineering 26:2, pages 215-222.
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Peihua Qiu & Dongdong Xiang. (2014) Univariate Dynamic Screening System: An Approach For Identifying Individuals With Irregular Longitudinal Behavior. Technometrics 56:2, pages 248-260.
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Liu Liu, Fugee Tsung & Jian Zhang. (2014) Adaptive nonparametric CUSUM scheme for detecting unknown shifts in location. International Journal of Production Research 52:6, pages 1592-1606.
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J. Kim, K.N. Al-Khalifa, M. Park, M.K. Jeong, A.M.S. Hamouda & E.A. Elsayed. (2013) Adaptive cumulative sum charts with the adaptive runs rule. International Journal of Production Research 51:15, pages 4556-4569.
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Ross Sparks. (2013) Challenges in designing a disease surveillance plan: What we have and what we need?. IIE Transactions on Healthcare Systems Engineering 3:3, pages 181-192.
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Liu Liu, Xuemin Zi, Jian Zhang & Zhaojun Wang. (2013) A Sequential Rank-Based Nonparametric Adaptive EWMA Control Chart. Communications in Statistics - Simulation and Computation 42:4, pages 841-859.
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Marion R. Reynolds$suffix/text()$suffix/text(), Jianying Lou, Jaeheon Lee & Sai Wang. (2013) The Design of GLR Control Charts for Monitoring the Process Mean and Variance. Journal of Quality Technology 45:1, pages 34-60.
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Huairui Guo, Kamran Paynabar & Jionghua Jin. (2012) Multiscale monitoring of autocorrelated processes using wavelets analysis. IIE Transactions 44:4, pages 312-326.
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R.
S. Sparks, T. Keighley & D. Muscatello. (2011) Optimal exponentially weighted moving average (EWMA) plans for detecting seasonal epidemics when faced with non-homogeneous negative binomial counts. Journal of Applied Statistics 38:10, pages 2165-2181.
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Wei Jiang, Lianjie Shu & Kwok-Leung Tsui. (2011) Weighted CUSUM Control Charts for Monitoring Poisson Processes with Varying Sample Sizes. Journal of Quality Technology 43:4, pages 346-362.
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M.A. Graham, S. Chakraborti & S.W. Human. (2011) A Nonparametric EWMA Sign Chart for Location Based on Individual Measurements. Quality Engineering 23:3, pages 227-241.
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Marion R. Reynolds$suffix/text()$suffix/text() & Jianying Lou. (2010) An Evaluation of a GLR Control Chart for Monitoring the Process Mean. Journal of Quality Technology 42:3, pages 287-310.
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MahmoudA. Mahmoud & WilliamH. Woodall. (2010) An Evaluation of the Double Exponentially Weighted Moving Average Control Chart. Communications in Statistics - Simulation and Computation 39:5, pages 933-949.
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Changliang Zou & Fugee Tsung. (2010) Likelihood Ratio-Based Distribution-Free EWMA Control Charts. Journal of Quality Technology 42:2, pages 174-196.
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Giovanna Capizzi & Guido Masarotto. (2010) Self-Starting CUSCORE Control Charts for Individual Multivariate Observations. Journal of Quality Technology 42:2, pages 136-151.
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MahmoudA. Mahmoud & AlyaaR. Zahran. (2010) A Multivariate Adaptive Exponentially Weighted Moving Average Control Chart. Communications in Statistics - Theory and Methods 39:4, pages 606-625.
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MarionR. Reynolds$suffix/text()$suffix/text(). (2009) Discussion on “Optimal Sequential Surveillance for Finance, Public Health, and Other Areas” by Marianne Frisén. Sequential Analysis 28:3, pages 375-380.
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Wei Jiang, Lianjie Shu & DanielW. Apley. (2008) Adaptive CUSUM procedures with EWMA-based shift estimators. IIE Transactions 40:10, pages 992-1003.
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Lianjie Shu. (2008) An adaptive exponentially weighted moving average control chart for monitoring process variances. Journal of Statistical Computation and Simulation 78:4, pages 367-384.
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Argon Chen & Y.K. Chen. (2007) Design of EWMA and CUSUM control charts subject to random shift sizes and quality impacts. IIE Transactions 39:12, pages 1127-1141.
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Lianjie Shu, Wei Jiang & Shujin Wu. (2007) A One-Sided EWMA Control Chart for Monitoring Process Means. Communications in Statistics - Simulation and Computation 36:4, pages 901-920.
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Changliang Zou, Yujuan Zhang & Zhaojun Wang. (2006) A control chart based on a change-point model for monitoring linear profiles. IIE Transactions 38:12, pages 1093-1103.
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Marion R Reynolds$suffix/text()$suffix/text() & Zachary G Stoumbos. (2006) Comparisons of Some Exponentially Weighted Moving Average Control Charts for Monitoring the Process Mean and Variance. Technometrics 48:4, pages 550-567.
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Lianjie Shu & Wei Jiang. (2006) A Markov Chain Model for the Adaptive CUSUM Control Chart. Journal of Quality Technology 38:2, pages 135-147.
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William H Woodall & Mahmoud A Mahmoud. (2005) The Inertial Properties of Quality Control Charts. Technometrics 47:4, pages 425-436.
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