Analysis and linking of international measurement comparisons
Identifieur interne : 006C39 ( Main/Exploration ); précédent : 006C38; suivant : 006C40Analysis and linking of international measurement comparisons
Auteurs : C M Sutton [Nouvelle-Zélande]Source :
- Metrologia [ 0026-1394 ] ; 2004.
English descriptors
- Teeft :
- Cipm, Cipm comparison, Column vector, Common reference, Comparison reference value, Constraint, Corresponding cipm comparison, Covariance matrix, Density formula, Design matrix, Equivalence, Final report, International measurement comparisons, Kcrv, Laboratory bias, Link laboratories, Link laboratory, Mass comparison example, Mass comparisons, Mass value, Mass values, Matrix, Measurement comparisons, Measurement result, Measurement results, Metrologia, Multiple comparison loops, Multiple measurements, Mutual recognition arrangement, Other comparison types, Pilot laboratory, Random errors, Reference value, Relative values, Results vector, Solid markers, Standard deviation, Standard kilograms, Standard uncertainty, Uncertainty matrix.
Abstract
We present a method to analyse international measurement comparisons, including linking two or more comparisons. This method, which is based on linear generalized least-squares estimation, directly gives the degrees of equivalence required by the Mutual Recognition Arrangement, both relative to the key comparison reference value (KCRV) and between pairs of participating laboratories. The key features of the method are its ability to accommodate multiple travelling standards (including instabilities in the standards), multiple measurements by participating laboratories, multiple comparison loops, and known correlations between measurements (both intra- and interlaboratory). The method can be applied with or without a KCRV (but does not give a value for the KCRV). An analysis of the linked comparisons APMP.M.M-Kl and CCM.M-Kl is presented to illustrate the method. While best suited to comparisons with single-valued travelling standards, the method can be applied to most other comparison types.
Url:
DOI: 10.1088/0026-1394/41/4/008
Affiliations:
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Le document en format XML
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<front><div type="abstract">We present a method to analyse international measurement comparisons, including linking two or more comparisons. This method, which is based on linear generalized least-squares estimation, directly gives the degrees of equivalence required by the Mutual Recognition Arrangement, both relative to the key comparison reference value (KCRV) and between pairs of participating laboratories. The key features of the method are its ability to accommodate multiple travelling standards (including instabilities in the standards), multiple measurements by participating laboratories, multiple comparison loops, and known correlations between measurements (both intra- and interlaboratory). The method can be applied with or without a KCRV (but does not give a value for the KCRV). An analysis of the linked comparisons APMP.M.M-Kl and CCM.M-Kl is presented to illustrate the method. While best suited to comparisons with single-valued travelling standards, the method can be applied to most other comparison types.</div>
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