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Journal of Quality Technology
A Quarterly Journal of Methods, Applications and Related Topics
Volume 42, 2010 - Issue 1
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Articles

Simultaneous Identification of Premodeled and Unmodeled Variation Patterns*

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Pages 36-51 | Published online: 21 Nov 2017

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Read on this site (6)

Anh Tuan Bui & Daniel W. Apley. (2022) Analyzing Nonparametric Part-to-Part Variation in Surface Point Cloud Data. Technometrics 64:4, pages 457-474.
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Zhenyu Shi, Daniel W. Apley & George C. Runger. (2019) Identifying and visualizing part-to-part variation with spatially dense optical dimensional metrology data. Journal of Quality Technology 51:1, pages 3-20.
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Zhenyu Shi, Daniel W. Apley & George C. Runger. (2016) Discovering the Nature of Variation in Nonlinear Profile Data. Technometrics 58:3, pages 371-382.
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William H. Woodall & Douglas C. Montgomery. (2014) Some Current Directions in the Theory and Application of Statistical Process Monitoring. Journal of Quality Technology 46:1, pages 78-94.
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Wei Jiang, Kaibo Wang & Fugee Tsung. (2012) A Variable-Selection-Based Multivariate EWMA Chart for Process Monitoring and Diagnosis. Journal of Quality Technology 44:3, pages 209-230.
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Daniel W. Apley. (2010) Comment. Technometrics 52:3, pages 277-280.
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Articles from other publishers (5)

Kenan ORÇANLI. (2021) Döküm Sanayinde Süreç Tabanlı Temel Gösterimleri İle İstatistiksel Süreç Kontrolü. Academic Platform Journal of Engineering and Science 9:1, pages 134-158.
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Theodore T. Allen, Hui Xiong & Shih-Hsien Tseng. (2020) Expert Refined Topic Models to Edit Topic Clusters in Image Analysis Applied to Welding Engineering. Informatics 7:3, pages 21.
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Ross Sparks. (2015) Monitoring Highly Correlated Multivariate Processes Using Hotelling's T 2 Statistic: Problems and Possible Solutions . Quality and Reliability Engineering International 31:6, pages 1089-1097.
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K. MuralidharanK. Muralidharan. 2015. Six Sigma for Organizational Excellence. Six Sigma for Organizational Excellence 425 500 .
Jian Liu. (2010) Variation reduction for multistage manufacturing processes: a comparison survey of statistical-process-control vs stream-of-variation methodologies. Quality and Reliability Engineering International 26:7, pages 645-661.
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