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Journal of Quality Technology
A Quarterly Journal of Methods, Applications and Related Topics
Volume 43, 2011 - Issue 2
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Articles

Self-Starting Multivariate Control Charts for Location and Scale

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Pages 113-126 | Published online: 21 Nov 2017

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Read on this site (11)

Pei-Le Chen & Mei-Han Wang. (2024) The multivariate control chart with variable dimension for monitoring both location and dispersion. Communications in Statistics - Simulation and Computation 53:3, pages 1534-1547.
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Arijit Maji & Indrajit Mukherjee. (2024) An efficient adaptive r-MD multivariate single control chart for nonlinear multiple quality characteristics. International Journal of Production Research 62:3, pages 784-822.
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Edgard Maboudou-Tchao, Charles W. Harrison & Sumen Sen. (2023) A comparison study of penalized likelihood via regularization and support vector-based control charts. Quality Technology & Quantitative Management 20:2, pages 147-167.
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Mohsen Ebadi, Shojaeddin Chenouri, Dennis K. J. Lin & Stefan H. Steiner. (2022) Statistical monitoring of the covariance matrix in multivariate processes: A literature review. Journal of Quality Technology 54:3, pages 269-289.
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Jimoh Olawale Ajadi, Zezhong Wang & Inez Maria Zwetsloot. (2021) A review of dispersion control charts for multivariate individual observations. Quality Engineering 33:1, pages 60-75.
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Peyman Khosravi & Amirhossein Amiri. (2019) Self-Starting control charts for monitoring logistic regression profiles. Communications in Statistics - Simulation and Computation 48:6, pages 1860-1871.
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Chen Zhang, Nan Chen & Changliang Zou. (2016) Robust Multivariate Control Chart Based on Goodness-of-Fit Test. Journal of Quality Technology 48:2, pages 139-161.
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Bahareh Azarnoush, Kamran Paynabar, Jennifer Bekki & George Runger. (2016) Monitoring Temporal Homogeneity in Attributed Network Streams. Journal of Quality Technology 48:1, pages 28-43.
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L. Allison Jones-Farmer, William H. Woodall, Stefan H. Steiner & Charles W. Champ. (2014) An Overview of Phase I Analysis for Process Improvement and Monitoring. Journal of Quality Technology 46:3, pages 265-280.
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Yanting Li, Yukun Liu, Changliang Zou & Wei Jiang. (2014) A self-starting control chart for high-dimensional short-run processes. International Journal of Production Research 52:2, pages 445-461.
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Articles from other publishers (11)

Arijit Maji & Indrajit Mukherjee. (2021) An unsupervised one-class-classifier support vector machine to simultaneously monitor location and scale of multivariate quality characteristics. International Journal of Quality & Reliability Management 40:2, pages 419-454.
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Tahir Mahmood & Aysegul Erem. (2023) A bivariate exponentially weighted moving average control chart based on exceedance statistics. Computers & Industrial Engineering 175, pages 108910.
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Markos V. Koutras & Elisavet M. Sofikitou. (2019) Bivariate semiparametric control charts for simultaneous monitoring of process mean and variance. Quality and Reliability Engineering International 36:2, pages 447-473.
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Xiu Ning & Pingke Li. (2019) A simulation comparison of some distance‐based EWMA control charts for monitoring the covariance matrix with individual observations. Quality and Reliability Engineering International 36:1, pages 50-67.
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Eralp Dogu & Min Jung Kim. (2020) Self-starting single control charts for multivariate processes: a comparison of methods. Production 30.
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Subhabrata Chakraborti & Marien Alet Graham. 2019. Nonparametric Statistical Process Control. Nonparametric Statistical Process Control 413 424 .
Shuguang He, Wei Jiang & Houtao Deng. (2016) A distance-based control chart for monitoring multivariate processes using support vector machines. Annals of Operations Research 263:1-2, pages 191-207.
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Ching‐Ren Cheng & Jyh‐Jen Horng Shiau. (2014) A Distribution‐Free Multivariate Control Chart for Phase I Applications. Quality and Reliability Engineering International 31:1, pages 97-111.
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Ehsan Bahiraee & Sadigh Raissi. (2014) Economic design of Hotelling’s T2 control chart on the presence of fixed sampling rate and exponentially assignable causes. Journal of Industrial Engineering International 10:4, pages 229-238.
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Víctor G. Tercero-Gómez, Alvaro Cordero-Franco, Angel Pérez-Blanco & Alberto Hernández-Luna. (2014) A Self-Starting CUSUM Chart Combined with a Maximum Likelihood Estimator for the Time of a Detected Shift in the Process Mean. Quality and Reliability Engineering International 30:4, pages 591-599.
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Edgard M. Maboudou-Tchao & Vincent Agboto. (2013) Monitoring the covariance matrix with fewer observations than variables. Computational Statistics & Data Analysis 64, pages 99-112.
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