Download | - View final version: Calibration model averaging in chemical analysis: a case study for the method of standard additions (PDF, 780 KiB)
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DOI | Resolve DOI: https://doi.org/10.1088/1681-7575/accd75 |
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Author | Search for: Pagliano, Enea1ORCID identifier: https://orcid.org/0000-0001-9755-8737; Search for: Meija, Juris1ORCID identifier: https://orcid.org/0000-0002-3349-5535 |
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Affiliation | - National Research Council of Canada. Metrology Research Centre
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Format | Text, Article |
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Subject | method of standard additions; uncertainty evaluation; model averaging |
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Abstract | In this study we demonstrate that the method of standard additions can provide unreliable results in chemical analysis when the linear calibration model is forced to fit the data. A well designed standard addition experiment can still yield results biased by 10% when the analyst relies only on the linear model. Recently, the Joint Committee for Guides in Metrology (GUM-6) has emphasized the need to address the uncertainty inherent to the choice of measurement models and here we show how model averaging can provide a practical way to account for model uncertainty in the method of standard additions. |
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Publication date | 2023-05-11 |
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Publisher | IOP Publishing |
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Licence | |
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In | |
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Language | English |
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Peer reviewed | Yes |
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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 | 035380be-0529-44b8-a20c-e7ceb31f846b |
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Record created | 2024-01-25 |
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Record modified | 2024-01-25 |
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