New Algorithms for Estimating the Value of the Certified Characteristic of Reference Materials of Substances and Materials by the Method of Interlaboratory Certification
P. M. Aronov, 
E. P. Sobina,
P. V. Migal,
O. N. Kremleva,
V. V. Studenok,
V. A. Firsanov,
S. V. Medvedevskikh
E. P. Sobina,
P. V. Migal,
O. N. Kremleva,
V. V. Studenok,
V. A. Firsanov,
S. V. Medvedevskikh https://doi.org/10.20915/2077-1177-2023-19-3-93-102
Abstract
In this work, algorithms for the characterization of reference materials are developed based on the data model of an interlaboratory experiment containing hidden uncertainties. These algorithms make it possible to evaluate hidden uncertainties, and, taking into account these estimates, adjust the data and obtain an agreed value of the certified characteristics. The Monte Carlo method was used to study the properties of estimates of hidden uncertainties, as well as the study of new algorithms in comparison with traditional ones.
About the Authors
P. M. Aronov
UNIIM – A ffiliated branch of the D. I. Mendeleyev
Russian Federation
Russian Federation
Petr M. Aronov – Cand. Sci. (Phys.-Mat.), Leading Researcher of the Laboratory for Mathematical Modeling of Measuring Processes and Systems
4 Krasnoarmeyskaya str., Yekaterinburg, 620075
E. P. Sobina
UNIIM – A ffiliated branch of the D. I. Mendeleyev
Russian Federation
Russian Federation
Egor P. Sobina – D r. Sci. (Eng.), Director, Head of the Laboratory for Metrological Assurance of Nano Industry, Spectral Methods of Analysis and Reference Materials, Corresponding Member of the Metrological Academy
4 Krasnoarmeyskaya str., Yekaterinburg, 620075
P. V. Migal
UNIIM – A ffiliated branch of the D. I. Mendeleyev
Russian Federation
Russian Federation
Pavel V. Migal – Cand. Sci. (Eng.), Deputy Director of the Branch for Science, Head of the Laboratory for Mathematical Modeling of Measuring Processes and Systems
4 Krasnoarmeyskaya str., Yekaterinburg, 620075
O. N. Kremleva
UNIIM – A ffiliated branch of the D. I. Mendeleyev
Russian Federation
Russian Federation
Olga N. Kremleva – Head of the Department of the State Service of Reference Materials
4 Krasnoarmeyskaya str., Yekaterinburg, 620075
V. V. Studenok
UNIIM – A ffiliated branch of the D. I. Mendeleyev
Russian Federation
Russian Federation
Valeriya V. Studenok – Deputy Head of the Department of the State Service of Reference Materials
4 Krasnoarmeyskaya str., Yekaterinburg, 620075
V. A. Firsanov
UNIIM – A ffiliated branch of the D. I. Mendeleyev
Russian Federation
Russian Federation
Valeriy A. Firsanov – Leading Engineer of the Laboratory for Mathematical Modeling of Measuring Processes and Systems
4 Krasnoarmeyskaya str., Yekaterinburg, 620075
S. V. Medvedevskikh
D. I. Mendeleyev Institute for Metrology
Russian Federation
Russian Federation
Sergey V. Medvedevskikh – Cand. Sci. (Eng.), Head of the Mechanical Metrology Department
19 Moskovsky ave., St. Petersburg, 190005
References
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2. Meija J., Possolo A. Interlaboratory comparisons of chemical measurements: Quo Vadis? Accreditation and Quality Assurance. 2022. https://doi.org/10.1007/s00769–022–01505-y
3. Cox M. G. The evaluation of key comparison data: determining the largest consistent subset. Metrologia. 2007;44(3):187–200. https://doi.org/10.1088/0026–1394/44/3/005
4. Aronov P. M. Estimation of consensus value of interlaboratory measurement results accompanied by a minimum increase in associated uncertainty. In: Medvedevskikh S. V., Kremleva O. N., Vasil’eva I. V., Sobina E. P. (eds). Reference Materials in Measurement and Technology. RMMT 2018. Springer Nature Switzerland AG, 2020. P. 151–155. https://doi.org/10.1007/978-3-030-32534-3_15
Review
For citations:
Aronov P.M., Sobina E.P., Migal P.V., Kremleva O.N., Studenok V.V., Firsanov V.A., Medvedevskikh S.V. New Algorithms for Estimating the Value of the Certified Characteristic of Reference Materials of Substances and Materials by the Method of Interlaboratory Certification. Measurement Standards. Reference Materials. 2023;19(3):93-102. (In Russ.) https://doi.org/10.20915/2077-1177-2023-19-3-93-102
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