Téléchargement | - Voir la version finale : A brief guide to measurement uncertainty (IUPAC Technical Report) (PDF, 1.5 Mio)
- Voir les données supplémentaires partie 1 : A brief guide to measurement uncertainty (IUPAC Technical Report) (XLSX, 2.7 Mio)
- Voir les données supplémentaires partie 2 : A brief guide to measurement uncertainty (IUPAC Technical Report) (ZIP, 12 Kio)
|
---|
DOI | Trouver le DOI : https://doi.org/10.1515/pac-2022-1203 |
---|
Auteur | Rechercher : Possolo, AntonioIdentifiant ORCID : https://orcid.org/0000-0002-8691-4190; Rechercher : Hibbert, David BrynnIdentifiant ORCID : https://orcid.org/0000-0001-9210-2941; Rechercher : Stohner, JürgenIdentifiant ORCID : https://orcid.org/0000-0003-0079-7083; Rechercher : Bodnar, OlhaIdentifiant ORCID : https://orcid.org/0000-0003-1359-3311; Rechercher : Meija, Juris1Identifiant ORCID : https://orcid.org/0000-0002-3349-5535 |
---|
Affiliation | - Conseil national de recherches du Canada. Centre de recherche en métrologie
|
---|
Format | Texte, Rapport technique |
---|
Sujet | Bayesian methods; Gauss’s formula; measurement uncertainty; Monte Carlo methods; uncertainty propagation |
---|
Résumé | 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. |
---|
Date de publication | 2024-01-18 |
---|
Maison d’édition | Walter de Gruyter GmbH |
---|
Licence | |
---|
Dans | |
---|
Langue | anglais |
---|
Publications évaluées par des pairs | Oui |
---|
Exporter la notice | Exporter en format RIS |
---|
Signaler une correction | Signaler une correction (s'ouvre dans un nouvel onglet) |
---|
Identificateur de l’enregistrement | 429a2906-bcdb-42af-bf19-b40e3fb49ab0 |
---|
Enregistrement créé | 2024-01-20 |
---|
Enregistrement modifié | 2024-01-22 |
---|