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Original Articles

A statistically adaptive sampling policy to the Hotelling's T2 control chart: Markov chain approach

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Pages 3919-3929 | Received 19 Nov 2013, Accepted 31 Mar 2014, Published online: 16 May 2016

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Hamed Sabahno & Michael B.C Khoo. (2024) A multivariate adaptive control chart for simultaneously monitoring of the process parameters. Communications in Statistics - Simulation and Computation 53:4, pages 2031-2049.
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Hamed Sabahno. (2023) An adaptive max-type multivariate control chart by considering measurement errors and autocorrelation. Journal of Statistical Computation and Simulation 93:16, pages 2956-2981.
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Hamed Sabahno & Giovanni Celano. (2023) Monitoring the multivariate coefficient of variation in presence of autocorrelation with variable parameters control charts. Quality Technology & Quantitative Management 20:2, pages 184-210.
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Hamed Sabahno, Philippe Castagliola & Amirhossein Amiri. (2020) An adaptive variable-parameters scheme for the simultaneous monitoring of the mean and variability of an autocorrelated multivariate normal process. Journal of Statistical Computation and Simulation 90:8, pages 1430-1465.
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Hamed Sabahno, Amirhossein Amiri & Philippe Castagliola. (2019) Optimal performance of the variable sample sizes Hotelling’s T2 control chart in the presence of measurement errors. Quality Technology & Quantitative Management 16:5, pages 588-612.
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Asghar Seif. (2019) A new Markov chain approach for the economic statistical design of the VSS T2 control chart. Communications in Statistics - Simulation and Computation 48:1, pages 200-218.
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Muhammad Ahsan, Muhammad Mashuri, Heri Kuswanto, Dedy Dwi Prastyo & Hidayatul Khusna. (2018) Multivariate control chart based on PCA mix for variable and attribute quality characteristics. Production & Manufacturing Research 6:1, pages 364-384.
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Articles from other publishers (6)

Salah Haridy, Ahmed Maged, Nadin Alherimi, Mohammad Shamsuzzaman & Sondos Al‐Ali. (2024) Optimization design of control charts: A systematic review. Quality and Reliability Engineering International 40:4, pages 2122-2157.
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Yajie Bai, Jyun-You Chiang, Wen Liu & Zhengcheng Mou. (2024) An enhanced EWMA chart with variable sampling interval scheme for monitoring the exponential process with estimated parameter. Scientific Reports 14:1.
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Hamed Sabahno, Amirhossein Amiri & Philippe Castagliola. (2021) A new adaptive control chart for the simultaneous monitoring of the mean and variability of multivariate normal processes. Computers & Industrial Engineering 151, pages 106524.
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Hamed Sabahno, Philippe Castagliola & Amirhossein Amiri. (2020) A variable parameters multivariate control chart for simultaneous monitoring of the process mean and variability with measurement errors. Quality and Reliability Engineering International 36:4, pages 1161-1196.
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Theodoros Perdikis & Stelios Psarakis. (2019) A survey on multivariate adaptive control charts: Recent developments and extensions. Quality and Reliability Engineering International 35:5, pages 1342-1362.
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Roberto Campos Leoni & Antonio Fernando Branco Costa. (2017) Monitoring bivariate and trivariate mean vectors with a Shewhart chart . Quality and Reliability Engineering International 33:8, pages 2035-2042.
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