Assessing a Binary Measurement System with Operator and Random Part Effects
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-67856-2_18
Reference19 articles.
1. AIAG. (2010). Measurement system analysis. Reference Manual. 4th Edition Detroit MI. Automotive Industry Action Group.
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3. Albert, P. S., & Dodd, L. E. (2004). A cautionary note on the robustness of latent class models for estimating diagnostic error without a gold standard. Biometrics, 60, 427–435.
4. Albert, P. S., & Dodd, L. E. (2008). On estimating diagnostic accuracy from studies with multiple raters and partial gold standard evaluation. Journal of the American Statistical Association, 103, 61–73.
5. Bashkansky, E., Gadrich, T., & Kuselman, I. (2012). Inter-laboratory comparison of test results of an ordinal or nominal binary property: Analysis of variation. Accreditation and Quality Assurance, 17, 239–243.
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