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Metrological certification of the algorithm for estimating inconsistent data of key comparisons of national standards
https://doi.org/10.32446/0368-1025it.2022-7-43-48
Abstract
Key comparisons of national measurement standard are used for establishing equivalence of measurement standards and confirmation of calibration capabilities declared by National metrology institutes. Key comparison data evaluation is an important part of comparison report. Thе Random Effects Model (REM) algorithm using for evaluation of inconsistent data obtained in interlaboratory comparison is investigated. Methodology of metrological attestation/validation of algorithms is applied, which implies testing the algorithms on typical data models corresponding to some practical cases. Estimates of the following performance characteristics of REM algorithms are obtained by statistical simulation: conditional probability function of the estimator of dark uncertainty as well as its bias and standard deviation. Some practical application of the algorithm, based on results obtained is discussed.
About the Authors
N. A. Burmistrova
D. I.Mendeleyev Institute for Metrology (VNIIM)
Russian Federation
Russian Federation
Natalia A. Burmistrova
St. Petersburg
I. V. Viktorov
D. I.Mendeleyev Institute for Metrology (VNIIM)
Russian Federation
Russian Federation
Ivan V. Viktorov
St. Petersburg
A. G. Chunovkina
D. I.Mendeleyev Institute for Metrology (VNIIM)
Russian Federation
Russian Federation
Anna G. Chunovkina
St. Petersburg
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Review
For citations:
Burmistrova N.A., Viktorov I.V., Chunovkina A.G. Metrological certification of the algorithm for estimating inconsistent data of key comparisons of national standards. Izmeritel`naya Tekhnika. 2022;(7):43-48. (In Russ.) https://doi.org/10.32446/0368-1025it.2022-7-43-48
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