| Download | - View accepted manuscript: Uncertainty evaluation in normalization of isotope delta measurement results against international reference materials (PDF, 3.3 MiB)
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| DOI | Resolve DOI: https://doi.org/10.1007/s00216-017-0659-1 |
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| Author | Search for: Meija, Juris1ORCID identifier: https://orcid.org/0000-0002-3349-5535; Search for: Chartrand, Michelle1 |
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| Name affiliation | - National Research Council of Canada. Measurement Science and Standards
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| Format | Text, Article |
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| Subject | isotope delta; normalization; uncertainty evaluation; random effects model |
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| Abstract | Isotope delta measurements are normalized against international reference standards. Although multi-point normalization is becoming a standard practice, the existing uncertainty evaluation practices are either undocumented or are incomplete. For multi-point normalization, we present errors-in-variables regression models for explicit accounting of the measurement uncertainty of the international standards along with the uncertainty that is attributed to their assigned values. This manuscript presents framework to account for the uncertainty that arises due to a small number of replicate measurements and discusses multi-laboratory data reduction while accounting for inevitable correlations between the laboratories due to the use of identical reference materials for calibration. Both frequentist and Bayesian methods of uncertainty analysis are discussed. |
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| Publication date | 2017-12-07 |
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| Publisher | Springer |
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| In | |
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| Language | English |
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| Peer reviewed | Yes |
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| Identifier | ABC-01162-2017 |
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| NPARC number | 23002713 |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | 47bf3f65-c9d4-4fbb-9f8d-1c69284248a2 |
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| Record created | 2018-01-19 |
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| Record modified | 2020-06-04 |
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