Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-30694
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dc.contributor.authorPossolo, Antonio-
dc.contributor.authorHibbert, David Brynn-
dc.contributor.authorStohner, Jürgen-
dc.contributor.authorBodnar, Olha-
dc.contributor.authorMeija, Juris-
dc.date.accessioned2024-05-17T12:57:50Z-
dc.date.available2024-05-17T12:57:50Z-
dc.date.issued2024-
dc.identifier.issn0033-4545de_CH
dc.identifier.issn1365-3075de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/30694-
dc.description.abstractThis 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.de_CH
dc.language.isoende_CH
dc.publisherDe Gruyterde_CH
dc.relation.ispartofPure and Applied Chemistryde_CH
dc.rightshttps://creativecommons.org/licenses/by-nc-nd/4.0/de_CH
dc.subjectMonte Carlo methodsde_CH
dc.subjectUncertainty propagationde_CH
dc.subjectMeasurement uncertaintyde_CH
dc.subjectGauss’s formulade_CH
dc.subjectBayesian methodsde_CH
dc.subject.ddc510: Mathematikde_CH
dc.titleA brief guide to measurement uncertainty (IUPAC Technical Report)de_CH
dc.typeBeitrag in wissenschaftlicher Zeitschriftde_CH
dcterms.typeTextde_CH
zhaw.departementLife Sciences und Facility Managementde_CH
zhaw.organisationalunitInstitut für Chemie und Biotechnologie (ICBT)de_CH
dc.identifier.doi10.1515/pac-2022-1203de_CH
dc.identifier.doi10.21256/zhaw-30694-
zhaw.funding.euNode_CH
zhaw.issue1de_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.end134de_CH
zhaw.pages.start113de_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.volume96de_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.author.additionalNode_CH
zhaw.display.portraitYesde_CH
Appears in collections:Publikationen Life Sciences und Facility Management

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Possolo, A., Hibbert, D. B., Stohner, J., Bodnar, O., & Meija, J. (2024). A brief guide to measurement uncertainty (IUPAC Technical Report). Pure and Applied Chemistry, 96(1), 113–134. https://doi.org/10.1515/pac-2022-1203
Possolo, A. et al. (2024) ‘A brief guide to measurement uncertainty (IUPAC Technical Report)’, Pure and Applied Chemistry, 96(1), pp. 113–134. Available at: https://doi.org/10.1515/pac-2022-1203.
A. Possolo, D. B. Hibbert, J. Stohner, O. Bodnar, and J. Meija, “A brief guide to measurement uncertainty (IUPAC Technical Report),” Pure and Applied Chemistry, vol. 96, no. 1, pp. 113–134, 2024, doi: 10.1515/pac-2022-1203.
POSSOLO, Antonio, David Brynn HIBBERT, Jürgen STOHNER, Olha BODNAR und Juris MEIJA, 2024. A brief guide to measurement uncertainty (IUPAC Technical Report). Pure and Applied Chemistry. 2024. Bd. 96, Nr. 1, S. 113–134. DOI 10.1515/pac-2022-1203
Possolo, Antonio, David Brynn Hibbert, Jürgen Stohner, Olha Bodnar, and Juris Meija. 2024. “A Brief Guide to Measurement Uncertainty (IUPAC Technical Report).” Pure and Applied Chemistry 96 (1): 113–34. https://doi.org/10.1515/pac-2022-1203.
Possolo, Antonio, et al. “A Brief Guide to Measurement Uncertainty (IUPAC Technical Report).” Pure and Applied Chemistry, vol. 96, no. 1, 2024, pp. 113–34, https://doi.org/10.1515/pac-2022-1203.


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