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Quality Engineering Volume 18, 2006 - Issue 4
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Original Articles

Approving Measurement Systems when Using Derived Values

Karl D. Majeske School of Business Administration, Oakland University, Rochester, Michigan, USACorrespondence[email protected]
&
Chris Gearhart Ford Motor Company, Dearborn, Michigan, USA
Pages 523-532 | Published online: 15 Feb 2007

Citations (8)

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Read on this site (3)

KarlD. Majeske. (2012) Approving Vision-Based Measurement Systems in the Presence of Within-Part Variation. Quality Engineering 24:1, pages 49-59.
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Karl D. Majeske, Terri Lynch-Caris & Janet Brelin-Fornari. (2010) Quantifying R 2 bias in the presence of measurement error. Journal of Applied Statistics 37:4, pages 667-677.
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Karl D. Majeske. (2008) Approval Criteria for Multivariate Measurement Systems. Journal of Quality Technology 40:2, pages 140-153.
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Articles from other publishers (5)

Sarah M. DeSnyderParviz KheirkhahMarigold L. TravisSusan E. LillyIsabelle BedrosianThomas A. BuchholzMark V. SchaverienSimona F. Shaitelman. (2019) Optimizing Patient Positioning to Reduce Variation in the Measurement of Breast Cancer-Related Lymphedema. Lymphatic Research and Biology 17:4, pages 440-446.
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Souha Ben Amara, Jamel Dhahri & Nabil Ben Fredj. (2017) Process True Capability Evaluation with the Consideration of Measurement System Variability and Expected Quality Loss. Quality and Reliability Engineering International 33:5, pages 937-944.
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Souha Ben Amara, Jamel Dhahri, Slah Samet & Nabil Ben Fredj. (2017) Method for improving the measurement system selection depending on part and process precisions. Measurement 98, pages 103-111.
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Andrés Carrión García & Angela Grisales del Río. (2013) Number of distinct data categories and gage repeatability and reproducibility. A double (but single) requirement. Measurement 46:8, pages 2514-2518.
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Daniel Duret, Maurice Pillet, Alain Sergent & Dimitri Denimal. 2010. Product Lifecycle Management. Product Lifecycle Management 345 354 .

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