Treatment of bias in estimating measurement uncertainty O'Donnell, Gregory en_US Hibbert, D. Brynn en_US 2021-11-25T12:50:54Z 2021-11-25T12:50:54Z 2005 en_US
dc.description.abstract Bias in an analytical measurement should be estimated and corrected for, but this is not always done. As an alternative to correction, there are a number of methods that increase the expanded uncertainty to take account of bias. All sensible combinations of correcting or enlarging uncertainty for bias, whether considered significant or not, were modeled by a Latin hypercube simulation of 125,000 iterations for a range of bias values. The fraction of results for which the result and its expanded uncertainty contained the true value of a simulated test measurand was used to assess the different methods. The strategy of estimating the bias and always correcting is consistently the best throughout the range of biases. For expansion of the uncertainty when the bias is considered significant is best done by SUMUMax:U(C-test (result)) = ku(c)(C-test (result)) + |delta(run)|, where k is the coverage factor (= 2 for 95% confidence interval), u(c) is the combined standard uncertainty of the measurement and delta(run) is the run bias. en_US
dc.identifier.issn 0003-2654 en_US
dc.language English
dc.language.iso EN en_US
dc.rights CC BY-NC-ND 3.0 en_US
dc.rights.uri en_US
dc.source Legacy MARC en_US
dc.title Treatment of bias in estimating measurement uncertainty en_US
dc.type Journal Article en
dcterms.accessRights metadata only access
dspace.entity.type Publication en_US
unsw.relation.faculty Science
unsw.relation.ispartofissue 5 en_US
unsw.relation.ispartofjournal Analyst en_US
unsw.relation.ispartofpagefrompageto 721-729 en_US
unsw.relation.ispartofvolume 130 en_US
unsw.relation.originalPublicationAffiliation O'Donnell, Gregory, Chemistry, Faculty of Science, UNSW en_US
unsw.relation.originalPublicationAffiliation Hibbert, D. Brynn, Chemistry, Faculty of Science, UNSW en_US School of Chemistry *
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