New Algorithms for Estimating the Certified Characteristic of CRMs for Substances and Materials Using Interlaboratory Certification-Reference-Cited by-同舟云学术

New Algorithms for Estimating the Certified Characteristic of CRMs for Substances and Materials Using Interlaboratory Certification

Published:2024 Issue: Volume: Page:419-429
ISSN:
Container-title:Reference Materials in Measurement and Technology
language:en
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Author:

Aronov Petr M.^ORCID,Sobina Egor P.^ORCID,Migal Pavel V.^ORCID,Kremleva Olga N.^ORCID,Studenok Valeriya V.^ORCID,Firsanov Valeriy A.,Medvedevskikh Sergey V.^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-49200-6_28

Reference5 articles.

1. GOST 8.532-2002 (2003) State system for ensuring the uniformity of measurements. Certified reference materials of composition of substances and materials. Interlaboratory metrological certification. Content and order of works. Izdatel'stvo standartov, Moscow, 12 p (in Russian)

2. CCQM Guidance note: Estimation of consensus KCRV and associated Degrees of Equivalence.Version: 10. Available via BIPM. https://www.bipm.org/documents/20126/28430045/working-document-ID-5794/49d366bc-295f-18ca-c4d3-d68aa54077b5. Accessed 26 Aug 2022

3. Meija J, Possolo A (2022) Interlaboratory comparisons of chemical measurements: Quo Vadis? Accred Qual Assur. https://doi.org/10.1007/s00769-022-01505-y

4. Cox MG (2007) The evaluation of key comparison data: determining the largest consistent subset. Metrologia 44(3):187–200. https://doi.org/10.1088/0026-1394/44/3/005

5. Aronov PM (2020) Estimation of consensus value of interlaboratory measurement results accompanied by a minimum increase in associated uncertainty. In: Medvedevskikh SV, Kremleva ON, Vasil’eva IV, Sobina EP (eds) Reference materials in measurement and technology. RMMT 2018. Springer Nature Switzerland AG, pp 151–155. https://doi.org/10.1007/978-3-030-32534-3_15