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Quality Technology & Quantitative Management Volume 13, 2016 - Issue 1: Special issue - Statistical Process Control - Guest Editors - Professor Philippe Castagliola and Dr. Sotiris Bersimis
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Original Article

Phase II control charts for autocorrelated processes

Kostas TriantafyllopoulosSchool of Mathematics and Statistics, University of Sheffield, Sheffield, UK; Correspondence[email protected]
&
Sotiris BersimisDepartment of Statistics and Insurance Science, University of Piraeus, Piraeus, Greece
Pages 88-108 | Received 01 Feb 2014, Accepted 01 Oct 2014, Published online: 04 Apr 2016

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Ahmed Maged, Chun Fai Lui, Salah Haridy & Min Xie. (2023) Variational AutoEncoders-LSTM based fault detection of time-dependent high dimensional processes. International Journal of Production Research 0:0, pages 1-16.
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Samrad Jafarian-Namin, Mohammad Saber Fallahnezhad, Reza Tavakkoli-Moghaddam & Ali Salmasnia. (2022) Desensitized control charts with operational importance for autocorrelated processes. Quality Technology & Quantitative Management 19:6, pages 665-691.
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S.C. Shongwe & J.-C. Malela-Majika. (2022) Shewhart-type monitoring schemes with supplementary w-of-w runs-rules to monitor the mean of autocorrelated samples. Communications in Statistics - Simulation and Computation 51:1, pages 293-322.
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Samrad Jafarian-Namin, Mohammad Saber Fallahnezhad, Reza Tavakkoli-Moghaddam, Ali Salmasnia & Seyyed Mohammad Taghi Fatemi Ghomi. (2021) An integrated quality, maintenance and production model based on the delayed monitoring under the ARMA control chart. Journal of Statistical Computation and Simulation 91:13, pages 2645-2669.
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Sandile Charles Shongwe, Jean-Claude Malela-Majika, Philippe Castagliola & Thapelo Molahloe. (2020) Side-sensitive synthetic and runs-rules charts for monitoring AR(1) processes with skipping sampling strategies. Communications in Statistics - Theory and Methods 49:17, pages 4248-4269.
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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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