Statistics in Metrology: International Key Comparisons and Interlaboratory Studies

10.6339/JDS.2007.05(3).342

Andrew L. Rukhin；N. Sedransk

DerSimonian-Laird estimator ； interlaboratory study ； key comparison reference value ； Mandel-Paule algorithm ； maximum likelihood ； median ； meta-analysis ； uncertainty of type A ； uncertainty of type B ； weighted means

Journal of Data Science

5卷3期（2007 / 07 / 01）

393 - 412

英文

Stochastic modeling and analysis of international key comparisons (interlaboratory comparisons) pose several fundamental questions for statistical methodology. A key comparison (KC) is specifically designed to derive the key comparison reference value and to assess conformance of calibrations by participating national metrology laboratories at a few, ”key”, settings for a particular measurement process. An approach to the statistical study of key comparisons data is proposed using a model taken from meta-analysis. This 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.

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