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Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/13662
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dc.contributor.authorDillingham, Peteren
dc.contributor.authorRadu, Tanjaen
dc.contributor.authorDiamond, Dermoten
dc.contributor.authorRadu, Aleksandaren
dc.contributor.authorMcGraw, Christinaen
dc.date.accessioned2013-11-18T17:48:00Z-
dc.date.issued2012-
dc.identifier.citationElectroanalysis, 24(2), p. 316-324en
dc.identifier.issn1521-4109en
dc.identifier.issn1040-0397en
dc.identifier.urihttps://hdl.handle.net/1959.11/13662-
dc.description.abstractWith the increasing use of ion-selective electrodes in environmental and health applications, it is important to know the precision of estimated concentrations. A Bayesian model for non-linear calibration is introduced which provides estimates of measurement precision by incorporating uncertainty in calibration parameters and inherent random noise in emf response. The analysis of lead in 17 soil samples demonstrates that large gains in precision are possible when calibrations are extended to include multiple electrodes and standard addition data. The results highlight the need for improved calibration and routine use of standard addition as ion selective electrodes become increasingly popular for demanding, real world applications.en
dc.languageenen
dc.publisherWiley-VCH Verlag GmbH & Co KGaAen
dc.relation.ispartofElectroanalysisen
dc.titleBayesian Methods for Ion Selective Electrodesen
dc.typeJournal Articleen
dc.identifier.doi10.1002/elan.201100510en
dc.subject.keywordsEnvironmental Monitoringen
dc.subject.keywordsElectroanalytical Chemistryen
dc.subject.keywordsApplied Statisticsen
local.contributor.firstnamePeteren
local.contributor.firstnameTanjaen
local.contributor.firstnameDermoten
local.contributor.firstnameAleksandaren
local.contributor.firstnameChristinaen
local.subject.for2008030102 Electroanalytical Chemistryen
local.subject.for2008010401 Applied Statisticsen
local.subject.for2008050206 Environmental Monitoringen
local.subject.seo2008970101 Expanding Knowledge in the Mathematical Sciencesen
local.subject.seo2008970103 Expanding Knowledge in the Chemical Sciencesen
local.subject.seo2008970105 Expanding Knowledge in the Environmental Sciencesen
local.profile.schoolSchool of Science and Technologyen
local.profile.schoolStatisticsen
local.profile.schoolStatisticsen
local.profile.schoolStatisticsen
local.profile.schoolSchool of Science and Technologyen
local.profile.emailpdilling@une.edu.auen
local.profile.emailcmcgraw@une.edu.auen
local.output.categoryC1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.identifier.epublicationsrecordune-20131011-144026en
local.publisher.placeGermanyen
local.format.startpage316en
local.format.endpage324en
local.peerreviewedYesen
local.identifier.volume24en
local.identifier.issue2en
local.contributor.lastnameDillinghamen
local.contributor.lastnameRaduen
local.contributor.lastnameDiamonden
local.contributor.lastnameRaduen
local.contributor.lastnameMcGrawen
dc.identifier.staffune-id:pdillingen
dc.identifier.staffune-id:cmcgrawen
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:13874en
dc.identifier.academiclevelAcademicen
local.title.maintitleBayesian Methods for Ion Selective Electrodesen
local.output.categorydescriptionC1 Refereed Article in a Scholarly Journalen
local.search.authorDillingham, Peteren
local.search.authorRadu, Tanjaen
local.search.authorDiamond, Dermoten
local.search.authorRadu, Aleksandaren
local.search.authorMcGraw, Christinaen
local.uneassociationUnknownen
local.year.published2012en
local.subject.for2020340103 Electroanalytical chemistryen
local.subject.for2020490501 Applied statisticsen
local.subject.for2020410599 Pollution and contamination not elsewhere classifieden
local.subject.seo2020280118 Expanding knowledge in the mathematical sciencesen
local.subject.seo2020280105 Expanding knowledge in the chemical sciencesen
local.subject.seo2020280111 Expanding knowledge in the environmental sciencesen
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