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Quality Technology & Quantitative Management Volume 2, 2005 - Issue 2
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Original Articles

Multivariate Max-CUSUM Chart

Smiley W. ChengDepartment of Statistics, University of Manitoba, Manitoba, CanadaView further author information
&
Keoagile Thaga2Department of Statistics, University of Botswana, Gaborone, BotswanaView further author information
Pages 221-235 | Received 01 Dec 2004, Accepted 01 Apr 2005, Published online: 09 Feb 2016

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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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Yu An, Di Wang & Xi Zhang. (2020) A novel local temperature change detection approach in a 3D thermal field. Quality Technology & Quantitative Management 17:6, pages 723-737.
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Hidayatul Khusna, Muhammad Mashuri, Muhammad Ahsan, Suhartono Suhartono & Dedy Dwi Prastyo. (2020) Bootstrap-based maximum multivariate CUSUM control chart. Quality Technology & Quantitative Management 17:1, pages 52-74.
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Hidayatul Khusna, Muhammad Mashuri, Suhartono, Dedy Dwi Prastyo, Muhammad Hisyam Lee & Muhammad Ahsan. (2019) Residual-based maximum MCUSUM control chart for joint monitoring the mean and variability of multivariate autocorrelated processes. Production & Manufacturing Research 7:1, pages 364-394.
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Salah Haridy, Yanjing Ou, Zhang Wu & Michael B. C. Khoo. (2016) A single X chart outperforming the joint X & R and X & S charts for monitoring mean and variance. Quality Technology & Quantitative Management 13:3, pages 289-308.
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Kaibo Liu, Yajun Mei & Jianjun Shi. (2015) An Adaptive Sampling Strategy for Online High-Dimensional Process Monitoring. Technometrics 57:3, pages 305-319.
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Eralp Dogu. (2015) Identifying the time of a step change with multivariate single control charts. Journal of Statistical Computation and Simulation 85:8, pages 1529-1543.
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Guoxi Zhang & Shing I. Chang. (2008) Multivariate EWMA control charts using individual observations for process mean and variance monitoring and diagnosis. International Journal of Production Research 46:24, pages 6855-6881.
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GerdaR. J. Arts & FrankP. A. Coolen. (2008) Two Nonparametric Predictive Control Charts. Journal of Statistical Theory and Practice 2:4, pages 499-512.
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Articles from other publishers (21)

Anton Rauhameri, Katri Salminen, Jussi Rantala, Timo Salpavaara, Jarmo Verho, Veikko Surakka, Jukka Lekkala, Antti Vehkaoja & Philipp Müller. (2022) A comparison of online methods for change point detection in ion-mobility spectrometry data. Array 14, pages 100151.
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Jean-Claude Malela-Majika, Kashinath Chatterjee & Christos Koukouvinos. (2022) Univariate and Multivariate Linear Profiles Using Max-Type Extended Exponentially Weighted Moving Average Schemes. IEEE Access 10, pages 6126-6146.
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H Khusna, M Mashuri & Wibawati. (2021) Vector Autoregressive-Based Maximum MCUSUM Control Chart for Monitoring the Quality of White Crystal Sugar. Journal of Physics: Conference Series 2123:1, pages 012034.
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Abdul Haq & Michael B.C. Khoo. (2021) Enhanced directionally sensitive and directionally invariant MCUSUM and MEWMA charts for process mean. Computers & Industrial Engineering 161, pages 107635.
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Jimoh Olawale Ajadi, Kevin Hung, Muhammad Riaz, Nurudeen Ayobami Ajadi & Tahir Mahmood. (2021) On the multivariate progressive control chart for effective monitoring of covariance matrix. Quality and Reliability Engineering International 37:6, pages 2724-2737.
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Rumaisa Kruba, Muhammad Mashuri & Dedy Dwi Prastyo. (2021) The effectiveness of Max‐half‐Mchart over Max‐Mchart in simultaneously monitoring process mean and variability of individual observations. Quality and Reliability Engineering International 37:6, pages 2334-2347.
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Rumaisa Kruba, Muhammad Mashuri & Dedy Dwi Prastyo. (2021) Max-Half-Mchart: A Simultaneous Control Chart Using a Half-Normal Distribution for Subgroup Observations. IEEE Access 9, pages 105369-105381.
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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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Eralp Dogu & Min Jung Kim. (2020) Self-starting single control charts for multivariate processes: a comparison of methods. Production 30.
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Adriano B. Moala, Linda L. Ho & Roberto C. Quinino. (2019) Multivariate control charts to monitor the monthly frequency of vehicle robberies in São Paulo city. Spatial Statistics 29, pages 49-65.
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Muhammad Riaz, Jimoh Olawale Ajadi, Tahir Mahmood & Saddam Akber Abbasi. (2019) Multivariate Mixed EWMA-CUSUM Control Chart for Monitoring the Process Variance-Covariance Matrix. IEEE Access 7, pages 100174-100186.
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Reza Ghashghaei & Amirhossein Amiri. (2017) Sum of Squares Control Charts for Monitoring of Multivariate Multiple Linear Regression Profiles in Phase II. Quality and Reliability Engineering International 33:4, pages 767-784.
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Camil Fuchs & Ron S. Kenett. 2014. Wiley StatsRef: Statistics Reference Online. Wiley StatsRef: Statistics Reference Online.
Sukhraj Singh & D.R. Prajapati. (2013) Performance of CUSUM and EWMA charts for serial correlation. The TQM Journal 25:3, pages 309-324.
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Keoagile Thaga. (2009) SS-CUSUM Chart. Economic Quality Control 24:1.
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Khouira Senouci, Abdelber Bendaoud, Amar Tilmatine, Karim Medles, Subhankar Das & Lucian Dascalescu. (2009) Multivariate Statistical Process Control of Electrostatic Separation Processes. IEEE Transactions on Industry Applications 45:3, pages 1079-1085.
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Camil Fuchs & Ron S. Kenett. 2007. Encyclopedia of Statistics in Quality and Reliability. Encyclopedia of Statistics in Quality and Reliability.
Khouira Senouci, Abdelber Bendaoud, Amar Tilmatine, Karim Medles, Subhankar Das & Lucian Dascalescu. (2007) Multivariate Statistical Process Control of Electrostatic Separation Processes. Multivariate Statistical Process Control of Electrostatic Separation Processes.
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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K. Triantafyllopoulos. (2006) Multivariate Control Charts Based on Bayesian State Space Models. Quality and Reliability Engineering International 22:6, pages 693-707.
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Keoagile Thaga & Lesego Gabaitiri. (2006) Multivariate Max-Chart. Economic Quality Control 21:1.
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