Toman, B.
and Elster, C.
(2010),
Analysis of key comparisons: Estimating laboratories’ biases by a fixed effects model using Bayesian Model Averaging, Metrologia
(Accessed March 13, 2025)
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Analysis of key comparisons: Estimating laboratories biases by a fixed effects model using Bayesian Model Averaging
Published
Author(s)
, Clemens Elster
Abstract
We propose a novel procedure for the analysis of key comparison data. The goal of the procedure is to detect biases in the reported measurement results which are not accounted for by quoted uncertainties. A fixed effects bias model is employed which constrains the biases of some of the laboratories to zero. Only the number of these laboratories needs to be specified, not the laboratories themselves. The analysis then runs through all possible different models, each assuming zero biases for a different subset of laboratories. The results from these models are finally merged by employing a Bayesian Model Averaging technique. Explicit formulae are derived which allow for an easy application of the proposed approach. The procedure is illustrated by its application to data from the CCL-K1 key comparison.Citation
Metrologia
Volume
47
Pub Type
Journals
Keywords
measurement uncertainty, laboratory effects, key comparison experiments
Citation
Issues
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Created March 11, 2010, Updated June 2, 2021