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Journal of Applied Statistics Volume 37, 2010 - Issue 1
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Research Article

Inference on Cpk for autocorrelated data in the presence of random measurement errors

Michele Scagliarini Department of Statistical Science, University of Bologna, Via Belle Arti 41, Bologna, 40126, ItalyCorrespondence[email protected]
Pages 147-158 | Received 11 Jul 2008, Published online: 15 Dec 2009

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Read on this site (3)

Kuntal Bera & M.Z. Anis. (2023) A note on statistical analysis of C for autocorrelated data in the presence of random measurement errors. Communications in Statistics - Theory and Methods 0:0, pages 1-6.
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Sandile Charles Shongwe, Jean-Claude Malela-Majika & Philippe Castagliola. (2021) The new synthetic and runs-rules schemes to monitor the process mean of autocorrelated observations with measurement errors. Communications in Statistics - Theory and Methods 50:24, pages 5806-5835.
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Sandile Charles Shongwe, Jean-Claude Malela-Majika & Philippe Castagliola. (2021) A combined mixed-s-skip sampling strategy to reduce the effect of autocorrelation on the X̄ scheme with and without measurement errors. Journal of Applied Statistics 48:7, pages 1243-1268.
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Articles from other publishers (5)

Sandile C. Shongwe, Jean‐Claude Malela‐Majika & Philippe Castagliola. (2020) On monitoring the process mean of autocorrelated observations with measurement errors using the w‐of‐w runs‐rules scheme . Quality and Reliability Engineering International 36:3, pages 1144-1160.
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Maonatlala Thanwane, Sandile Charles Shongwe, Jean-Claude Malela-Majika & Muhammad Aslam. (2020) Parameter Estimation Effect of the Homogeneously Weighted Moving Average Chart to Monitor the Mean of Autocorrelated Observations With Measurement Errors. IEEE Access 8, pages 221352-221366.
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Mohammad Reza Maleki, Amirhossein Amiri & Philippe Castagliola. (2017) Measurement errors in statistical process monitoring: A literature review. Computers & Industrial Engineering 103, pages 316-329.
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D-C Li, S-Y Chang, T-L Chen & C-W Liu. (2011) Steps for the advanced product quality planning approach to improve product quality: a case of fastener manufacturing. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 225:9, pages 1621-1635.
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Michele Scagliarini. (2011) Multivariate process capability using principal component analysis in the presence of measurement errors. AStA Advances in Statistical Analysis 95:2, pages 113-128.
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