| Download | - View final version: A brief guide to measurement uncertainty (IUPAC Technical Report) (PDF, 1.5 MiB)
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- View supplementary information part 2: A brief guide to measurement uncertainty (IUPAC Technical Report) (ZIP, 12 KiB)
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| DOI | Resolve DOI: https://doi.org/10.1515/pac-2022-1203 |
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| Author | Search for: Possolo, AntonioORCID identifier: https://orcid.org/0000-0002-8691-4190; Search for: Hibbert, David BrynnORCID identifier: https://orcid.org/0000-0001-9210-2941; Search for: Stohner, JürgenORCID identifier: https://orcid.org/0000-0003-0079-7083; Search for: Bodnar, OlhaORCID identifier: https://orcid.org/0000-0003-1359-3311; 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, Technical Report |
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| Subject | Bayesian methods; Gauss’s formula; measurement uncertainty; Monte Carlo methods; uncertainty propagation |
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| Abstract | This Brief Guide reintroduces readers to the main concepts and technical tools used for the evaluation and expression of measurement uncertainty, including both classical and Bayesian statistical methods. The general approach is the same that was adopted by the Guide to the Expression of Uncertainty in Measurement (GUM): quantities whose values are surrounded by uncertainty are modeled as random variables, which enables the application of a wide range of techniques from probability and statistics to the evaluation of measurement uncertainty. All the methods presented are illustrated with examples involving real measurement results from a wide range of fields of chemistry and related sciences, ranging from classical analytical chemistry as practiced at the beginning to the 20th century, to contemporary studies of isotopic compositions of the elements and clinical trials. The supplementary material offers profusely annotated computer codes that allow the readers to reproduce all the calculations underlying the results presented in the examples. |
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| Publication date | 2024-01-18 |
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| Publisher | Walter de Gruyter GmbH |
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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 | 429a2906-bcdb-42af-bf19-b40e3fb49ab0 |
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| Record created | 2024-01-20 |
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| Record modified | 2024-01-22 |
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