Rukhin, A.
and Strawderman, W.
(2012),
Simultaneous Estimation and Reduction of Nonconformity in Interlaboratory Studies, Journal of the Royal Statistical Society Series B-Statistical Methodology, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=901157
(Accessed March 13, 2025)
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Simultaneous Estimation and Reduction of Nonconformity in Interlaboratory Studies
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Abstract
Several procedures designed to reduce nonconformity in interlaboratory studies by shrinking data toward a consensus weighted mean are suggested. Some of them are shown to have a smaller quadratic risk than the vector sample mean. Shrinkage toward a weighted means statistics appearing in random effects model and in models which include systematic, Type B errors is also considered. The results are illustrated by two examples of collaborative studies.Citation
Journal of the Royal Statistical Society Series B-Statistical Methodology
Pub Type
Journals
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Keywords
Birge ratio, DerSimonian-Laird estimator, heteroscedasticity, key comparisons, Mandel-Paule algorithm, meta-analysis, normal mean, reference value, shrinkage estimators, Stein phenomenon, weighted means statistics.
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Created August 8, 2012, Updated February 19, 2017