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Statistics in Metrology: International Key Comparisons and Interlaboratory Studies



N Sedransk, Andrew L. Rukhin, Blaza Toman


An approach to the analysis of key comparisons data is proposed using a model taken from meta-analysis metrology. Under the assumption of Gaussian distributions and equivalent qualification of all participating laboratories the analysis of data from interlaboratory studies is explored. The model leads to a class of weighted means estimators for the consensus value and to a method of assessing the uncertainty of the resulting estimates. Derivation of Bayes estimators shows that these also belong to the meta-analysis class.


DerSimonian-Laird estimator, interlaboratory study, key comparison reference value, Mandel-Paule algorithm, median, meta-analysis, uncertainty of Type A, uncertainty of Type B, weighted means


Sedransk, N. , Rukhin, A. and Toman, B. (2007), Statistics in Metrology: International Key Comparisons and Interlaboratory Studies, Technometrics (Accessed May 24, 2024)


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Created July 10, 2007, Updated February 17, 2017