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Publication Citation: Statistics in Metrology: International Key Comparisons and Interlaboratory Studies

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Author(s): N Sedransk; Andrew L. Rukhin; Blaza Toman;
Title: Statistics in Metrology: International Key Comparisons and Interlaboratory Studies
Published: July 10, 2007
Abstract: 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.
Citation: Technometrics
Keywords: 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
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