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Journal of Quality Technology
A Quarterly Journal of Methods, Applications and Related Topics
Volume 14, 1982 - Issue 2
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Articles

Combined Shewhart-CUSUM Quality Control Schemes

Pages 51-59 | Published online: 22 Feb 2018

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G. Hernández-Zamudio, V. Tercero-Gómez, W. J. Conover, L. Benavides-Vázquez & M. Beruvides. (2024) On the power and robustness of phase I nonparametric Shewhart-type charts using sequential normal scores. Journal of Industrial and Production Engineering 41:3, pages 276-305.
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Abdul Haq & Ehsana Anum Syed. (2024) Enhanced CUSUM and dual CUSUM mean charts. Communications in Statistics - Theory and Methods 53:6, pages 1906-1941.
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Gideon Mensah Engmann, Dong Han & Muhammad Ali Raza. (2024) Multi-chart schemes for detecting a range of variance changes. Quality Technology & Quantitative Management 21:2, pages 224-236.
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Dadasaheb G. Godase & Shashibhushan B. Mahadik. (2024) The combined Shewhart-CUSUM sign charts. Communications in Statistics - Simulation and Computation 53:1, pages 357-366.
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Sven Knoth & William H. Woodall. (2023) Letter to the Editor. Quality Engineering 35:4, pages 729-730.
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Nasir Abbas. (2023) On efficient change point detection using a step cumulative sum control chart. Quality Engineering 35:4, pages 712-728.
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I. M. Zwetsloot, L. A. Jones-Farmer & W. H. Woodall. (2023) Monitoring univariate processes using control charts: Some practical issues and advice. Quality Engineering 0:0, pages 1-13.
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Fatima Anwer, Aamir Sanaullah, Azaz Ahmad & Amber Asghar. (2023) An improved mixed-homogeneously weighted moving average-CUSUM control chart for efficient monitoring of a process mean. Journal of Statistical Computation and Simulation 93:10, pages 1644-1666.
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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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Darwin J. Davis, James M. Lucas, Erwin M. Saniga & Michael S. Saccucci. (2023) Power guidelines for process monitoring. Quality Engineering 35:1, pages 130-141.
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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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K. Mabude, J.-C. Malela-Majika, P. Castagliola & S. C. Shongwe. (2022) Distribution-free mixed GWMA-CUSUM and CUSUM-GWMA Mann–Whitney charts to monitor unknown shifts in the process location. Communications in Statistics - Simulation and Computation 51:11, pages 6667-6690.
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Gideon Mensah Engmann & Dong Han. (2022) The optimized CUSUM and EWMA multi-charts for jointly detecting a range of mean and variance change. Journal of Applied Statistics 49:6, pages 1540-1558.
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Emmanuel Yashchin. (2022) Gradient analysis of Markov-type control schemes and its applications. Communications in Statistics - Simulation and Computation 51:4, pages 1814-1836.
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Gideon Mensah Engmann & Dong Han. (2022) Asymptotic optimized CUSUM and EWMA multi-charts for jointly detecting and diagnosing unknown change. Journal of Statistical Computation and Simulation 92:3, pages 524-543.
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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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Lei Qiao & Dong Han. (2021) CUSUM multi-chart based on nonparametric likelihood approach for detecting unknown abrupt changes and its application for network data. Journal of Statistical Computation and Simulation 91:17, pages 3473-3491.
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David Enck, Mario Beruvides, Víctor G. Tercero-Gómez & Alvaro E. Cordero-Franco. (2021) Using statistical process monitoring to identify us business cycle change points and turning points. Applied Economics 53:46, pages 5319-5336.
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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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A. Costa & S. Fichera. (2021) Economic-statistical design of adaptive arma control chart for autocorrelated data. Journal of Statistical Computation and Simulation 91:3, pages 623-647.
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Muhammad Aslam, Muhammad Ali Raza & Chi-Hyuck Jun. (2020) A new variable control chart under generalized multiple dependent state sampling . Communications in Statistics - Simulation and Computation 49:9, pages 2321-2332.
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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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Gadde Srinivasa Rao, Muhammad Aslam, Umer Rasheed & Chi-Hyuck Jun. (2020) Mixed EWMA–CUSUM chart for COM-Poisson distribution. Journal of Statistics and Management Systems 23:3, pages 511-527.
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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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Faustin Katchele OGOU, Qing YANG, Yawen DUAN & Zhuguo MA. (2019) Comparative analysis of interdecadal precipitation variability over central North China and sub Saharan Africa. Atmospheric and Oceanic Science Letters 12:3, pages 201-207.
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Sebastian Ottenstreuer, Christian H. Weiß & Sven Knoth. (2019) A combined Shewhart-CUSUM chart with switching limit. Quality Engineering 31:2, pages 255-268.
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Saba Abbasi & Abdul Haq. (2019) Optimal CUSUM and adaptive CUSUM charts with auxiliary information for process mean. Journal of Statistical Computation and Simulation 89:2, pages 337-361.
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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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Rizwan Ali & Abdul Haq. (2018) A mixed GWMA–CUSUM control chart for monitoring the process mean. Communications in Statistics - Theory and Methods 47:15, pages 3779-3801.
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Abdul Haq & Waqas Munir. (2018) Improved CUSUM charts for monitoring process mean. Journal of Statistical Computation and Simulation 88:9, pages 1684-1701.
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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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Richard Osei-Aning, Saddam Akber Abbasi & Muhammad Riaz. (2017) Mixed EWMA-CUSUM and mixed CUSUM-EWMA modified control charts for monitoring first order autoregressive processes. Quality Technology & Quantitative Management 14:4, pages 429-453.
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Muhammad Riaz, Qurat-Ul-Ain Khaliq & Shahla Gul. (2017) Mixed Tukey EWMA-CUSUM control chart and its applications. Quality Technology & Quantitative Management 14:4, pages 378-411.
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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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Sergio Trilles, Òscar Belmonte, Sven Schade & Joaquìn Huerta. (2017) A domain-independent methodology to analyze IoT data streams in real-time. A proof of concept implementation for anomaly detection from environmental data. International Journal of Digital Earth 10:1, pages 103-120.
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Tianhua Wang & Shuguang Huang. (2016) An adaptive multivariate CUSUM control chart for signaling a range of location shifts. Communications in Statistics - Theory and Methods 45:16, pages 4673-4691.
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Sang Joon Um & Jong Gurl Kim. (2016) A simultaneous control scheme for mean and fraction non conforming in small process variation. Communications in Statistics - Theory and Methods 45:16, pages 4745-4759.
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Jiujun Zhang, Zhonghua Li, Qin Zhou & Zhaojun Wang. (2016) An Adaptive Shiryaev–Roberts Procedure for Signalling Varying Location Shifts. Communications in Statistics - Simulation and Computation 45:7, pages 2511-2527.
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Michael B. C. Khoo, Philippe Castagliola, J. Y. Liew, W. L. Teoh & Petros E. Maravelakis. (2016) A Study on EWMA charts with runs rules—the Markov chain approach. Communications in Statistics - Theory and Methods 45:14, pages 4156-4180.
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Michael B.C. Khoo, Eng Keng Tan, Zhi Lin Chong & Salah Haridy. (2015) Side-sensitive group runs double sampling (SSGRDS) chart for detecting mean shifts. International Journal of Production Research 53:15, pages 4735-4753.
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Rassoul Noorossana, Maryam Shekary A & Ali Deheshvar. (2015) Combined Variable Sample Size, Sampling Interval, and Double Sampling (CVSSIDS) Adaptive Control Charts. Communications in Statistics - Theory and Methods 44:6, pages 1255-1269.
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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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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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GermánA. Bustos, AlejandroH. González & JacintoL. Marchetti. (2014) DETECTING STATIONARY GAIN CHANGES IN LARGE PROCESS SYSTEMS. Chemical Engineering Communications 201:5, pages 688-708.
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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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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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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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Wandi Huang, Marion R. Reynolds$suffix/text()$suffix/text() & Sai Wang. (2012) A Binomial GLR Control Chart for Monitoring a Proportion. Journal of Quality Technology 44:3, pages 192-208.
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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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I. Kooli & M. Limam. (2011) Economic Design of an Attribute np Control Chart Using a Variable Sample Size. Sequential Analysis 30:2, pages 145-159.
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Zhang Wu, Yanjing Ou, Philippe Castagliola & Michael B.C. Khoo. (2010) A combined synthetic&X chart for monitoring the process mean. International Journal of Production Research 48:24, pages 7423-7436.
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Jong-Hyun Ryu, G Wan & Sujin Kim. (2010) Optimal Design of a CUSUM Chart for a Mean Shift of Unknown Size. Journal of Quality Technology 42:3, pages 311-326.
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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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Ruey-Shiang Guh & Yeou-Ren Shiue. (2010) Fast and accurate recognition of control chart patterns using a time delay neural network. Journal of the Chinese Institute of Industrial Engineers 27:1, pages 61-79.
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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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Zhang Wu, Jianxin Jiao, Mei Yang, Ying Liu & Zhaojun Wang. (2009) An enhanced adaptive CUSUM control chart. IIE Transactions 41:7, pages 642-653.
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Francisco Aparisi & MarcoA. de Luna. (2009) The Design and Performance of the Multivariate Synthetic-T 2 Control Chart. Communications in Statistics - Theory and Methods 38:2, pages 173-192.
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J. B. Yu & L. F. Xi. (2008) Using an chart based on a self-organizing map NN to monitor out-of-control signals in manufacturing processes. International Journal of Production Research 46:21, pages 5907-5933.
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Marion R. Reynolds$suffix/text()$suffix/text() & Zachary G. Stoumbos. (2008) Combinations of Multivariate Shewhart and MEWMA Control Charts for Monitoring the Mean Vector and Covariance Matrix. Journal of Quality Technology 40:4, pages 381-393.
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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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Mahmoud A. Mahmoud, William H. Woodall & Robert E. Davis. (2008) Performance comparison of some likelihood ratio-based statistical surveillance methods. Journal of Applied Statistics 35:7, pages 783-798.
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Ruey-Shiang Guh & Yeou-Ren Shiue. (2008) EFFECTIVE PATTERN RECOGNITION OF CONTROL CHARTS USING A DYNAMICALLY TRAINED LEARNING VECTOR QUANTIZATION NETWORK. Journal of the Chinese Institute of Industrial Engineers 25:1, pages 73-89.
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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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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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Chang-Ho Chin & Daniel W Apley. (2006) Optimal Design of Second-Order Linear Filters for Control Charting. Technometrics 48:3, pages 337-348.
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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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Marion R Reynolds$suffix/text()$suffix/text() & Zachary G Stoumbos. (2005) Should Exponentially Weighted Moving Average and Cumulative Sum Charts Be Used With Shewhart Limits?. Technometrics 47:4, pages 409-424.
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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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Yi Zhao, Fugee Tsung & Zhaojun Wang. (2005) Dual CUSUM control schemes for detecting a range of mean shifts. IIE Transactions 37:11, pages 1047-1057.
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Ruey-Shiang Guh & Yeou-Ren Shiue. (2005) On-line identification of control chart patterns using self-organizing approaches. International Journal of Production Research 43:6, pages 1225-1254.
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RAJESH GANESAN, TAPASK. DAS & VIVEKANAND VENKATARAMAN. (2004) Wavelet-based multiscale statistical process monitoring: A literature review. IIE Transactions 36:9, pages 787-806.
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Marion R Reynolds$suffix/text()$suffix/text() & Zachary G Stoumbos. (2004) Control Charts and the Efficient Allocation of Sampling Resources. Technometrics 46:2, pages 200-214.
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Jeroen de Mast & Kit C. B. Roes. (2004) Robust Individuals Control Chart for Exploratory Analysis. Quality Engineering 16:3, pages 407-421.
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Douglas M. Hawkins*K. D. Zamba. (2003) On Small Shifts in Quality Control. Quality Engineering 16:1, pages 143-149.
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D. He, A. Grigoryan & M. Sigh. (2002) Design of double- and triple-sampling X-bar control charts using genetic algorithms. International Journal of Production Research 40:6, pages 1387-1404.
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Chuen-Sheng Cheng & Sheng-Su Cheng. (2001) A CUSUM CONTROL SCHEME FOR CLUSTERED DEFECTS. Journal of the Chinese Institute of Industrial Engineers 18:6, pages 1-8.
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Ross S. Sparks. (2000) CUSUM Charts for Signalling Varying Location Shifts. Journal of Quality Technology 32:2, pages 157-171.
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Alex J. Koning & Ronald J. M. M. Does. (2000) CUSUM Charts for Preliminary Analysis of Individual Observations. Journal of Quality Technology 32:2, pages 122-132.
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JamesM. Lucas & RonaldB. Crosier. (2000) Fast Initial Response for CUSUM Quality-Control Schemes: Give Your CUSUM A Head Start. Technometrics 42:1, pages 102-107.
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Layth C. Alwan. (2000) Designing an effective exponential cusum chart without the use of nomographs. Communications in Statistics - Theory and Methods 29:12, pages 2879-2893.
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Chin-Yao Low, Wen-Hai Chih & Chi-Long Yang. (1999) 類神經網路於製程管制之應用:具相關性數據特性模型之偵測與分析. Journal of the Chinese Institute of Industrial Engineers 16:3, pages 377-390.
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SHARADS. PRABHU, GEORGEC. RUNGER & DOUGLASC. MONTGOMERY. (1997) Selection of the subgroup size and sampling interval for a CUSUM control chart. IIE Transactions 29:6, pages 451-457.
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Antonio F. B. Costa. (1997) X̄ Chart with Variable Sample Size and Sampling Intervals. Journal of Quality Technology 29:2, pages 197-204.
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Douglas C. Montgomery & William H. Woodall. (1997) Concluding Remarks. Journal of Quality Technology 29:2, pages 157-162.
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Stig Johan Wiklund. (1997) Parabolic cusum control charts. Communications in Statistics - Simulation and Computation 26:1, pages 107-123.
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Vladimir Dragalin. (1997) The design and analysis of 2-CUSUM procedure. Communications in Statistics - Simulation and Computation 26:1, pages 67-81.
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Susan L. Albin, Lan Kang & Gerald Shea. (1997) An X and EWMA Chart for Individual Observations. Journal of Quality Technology 29:1, pages 41-48.
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P. LEE GEYER, STEFANH. STEINER & GEORGEO. WESOLOWSKY. (1996) Optimal SPRT and CUSUM procedures with compressed-limit gauges. IIE Transactions 28:6, pages 489-496.
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MORTON KLEIN. (1996) Composite Shewhart-EWMA statistical control schemes. IIE Transactions 28:6, pages 475-481.
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S.A. Vander Wiel. (1996) Monitoring Processes That Wander Using Integrated Moving Average Models. Technometrics 38:2, pages 139-151.
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WADEE. MOLNAU & J. BERT KEATS. (1996) A rule-based approach to multiple statistical test analysis of binary data. IIE Transactions 28:3, pages 203-213.
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JAMESR. SIMPSON & J. BERT KEATS. (1995) Trade-off analysis versus constrained optimization with an economic control chart model. IIE Transactions 27:6, pages 765-772.
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Emmanuel Yashchin. (1995) Likelihood Ratio Methods for Monitoring Parameters of a Nested Random Effect Model. Journal of the American Statistical Association 90:430, pages 729-738.
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DonG. Wardell, Herbert Moskowitz & RobertD. Plante. (1995) Response. Technometrics 37:2, pages 243-245.
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Chuen-Sheng Cheng. (1995) A cumulative score control scheme for detecting process shifts. Communications in Statistics - Theory and Methods 24:3, pages 755-774.
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George C. Runger, Thomas R. Wlllemain & Sharad Prabhu. (1995) Average run lengths for cusum control charts applied to residuals. Communications in Statistics - Theory and Methods 24:1, pages 273-282.
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Sharad S. Prabhu, Douglas C. Montgomery & George C. Runger. (1994) A Combined Adaptive Sample Size and Sampling Interval X̄ Control Scheme. Journal of Quality Technology 26:3, pages 164-176.
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Antonio F. B. Costa. (1994) X̄ Charts with Variable Sample Size. Journal of Quality Technology 26:3, pages 155-163.
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Emmanuel Yashchin. (1993) Performance of CUSUM Control Schemes for Serially Correlated Observations. Technometrics 35:1, pages 37-52.
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J. J. Daudin. (1992) Double Sampling X̅ Charts. Journal of Quality Technology 24:2, pages 78-87.
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Raid W. Amin & Alice J. Searcy. (1991) A nonparametric exponentially weighted moving average control scheme. Communications in Statistics - Simulation and Computation 20:4, pages 1049-1072.
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NORMA FARIS HUBELE$suffix/text()$suffix/text() & SHINGI. CHANG. (1990) Adaptive Exponentially Weighted Moving Average Schemes Using a Kalrnan Filter. IIE Transactions 22:4, pages 361-369.
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JamesM. Lucas & MichaelS. Saccucci. (1990) Exponentially Weighted Moving Average Control Schemes: Properties and Enhancements. Technometrics 32:1, pages 1-12.
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Emmanuel Yashchin. (1989) Weighted Cumulative Sum Technique. Technometrics 31:3, pages 321-338.
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RonaldB. Crosier. (1988) Multivariate Generalizations of Cumulative Sum Quality-Control Schemes. Technometrics 30:3, pages 291-303.
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William H. Woodall. (1986) The Design of CUSUM Quality Control Charts. Journal of Quality Technology 18:2, pages 99-102.
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WilliamH. Woodall & MatotengM. Ncube. (1985) Multivariate CUSUM Quality-Control Procedures. Technometrics 27:3, pages 285-292.
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JamesM. Lucas. (1985) Counted Data CUSUM's. Technometrics 27:2, pages 129-144.
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James M. Lucas. (1985) Cumulative sum (cusum) control schemes. Communications in Statistics - Theory and Methods 14:11, pages 2689-2704.
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WilliamH. Woodall. (1984) On the Markov Chain Approach to the Two-Sided CUSUM Procedure. Technometrics 26:1, pages 41-46.
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DonaldW. Marquardt. (1984) New Technical and Educational Directions for Managing Product Quality. The American Statistician 38:1, pages 8-14.
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JamesM. Lucas & RonaldB. Crosier. (1982) Fast Initial Response for CUSUM Quality-Control Schemes: Give Your CUSUM A Head Start. Technometrics 24:3, pages 199-205.
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James M Lucas & Ronald B Crosier. (1982) Robust cusum: a robustness study for cusum quality control schemes. Communications in Statistics - Theory and Methods 11:23, pages 2669-2687.
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Shashibhushan B. Mahadik & Dadasaheb G. Godase. A two-sided SPRT control chart for process mean. Journal of Statistical Computation and Simulation 0:0, pages 1-13.
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