Systematic errors in analytical measurement results Hibbert, D. Brynn en_US 2021-11-25T13:02:04Z 2021-11-25T13:02:04Z 2007 en_US
dc.description.abstract Definitions of the concepts of bias and recovery are discussed and approaches to dealing with them described. The Guide To Uncertainty in Measurement (GUM) recommends correction for all significant systematic effects, but it is also possible to expand measurement uncertainty to take account of uncorrected bias. Run, laboratory and method bias can be defined as components of the bias of a particular measurement result, and can be useful as concepts used in method validation. Estimation of run bias allows a simplification of the estimation of measurement uncertainty. Multivariate calibration brings its own biases that must be quantified and minimised. © 2007 Elsevier B.V. All rights reserved. en_US
dc.identifier.issn 0021-9673 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.subject.other Systematic errors en_US
dc.subject.other Calibration en_US
dc.subject.other Measurement theory en_US
dc.subject.other Parameter estimation en_US
dc.subject.other Uncertain systems en_US
dc.title Systematic errors in analytical measurement results en_US
dc.type Journal Article en
dcterms.accessRights open access
dspace.entity.type Publication en_US
unsw.description.publisherStatement The Journal of Chromatography A is published by Elsevier, en_US
unsw.identifier.doiPublisher en_US
unsw.relation.faculty Science
unsw.relation.ispartofissue 1-2 en_US
unsw.relation.ispartofjournal Journal of Chromatography A en_US
unsw.relation.ispartofpagefrompageto 25-32 en_US
unsw.relation.ispartofvolume 1158 en_US
unsw.relation.originalPublicationAffiliation Hibbert, D. Brynn, Chemistry, Faculty of Science, UNSW en_US School of Chemistry *
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