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dc.contributor.authorCoath, Christopher D.
dc.contributor.authorSteele, Robert C. J.
dc.contributor.authorLunnon, W. Fred
dc.date.accessioned2018-09-06T09:30:06Z
dc.date.available2018-09-06T09:30:06Z
dc.date.issued2013-01-01
dc.identifier255735801
dc.identifier1c8aa168-1677-4333-acf2-eb89ad711f08
dc.identifier84870945255
dc.identifier.citationCoath , C D , Steele , R C J & Lunnon , W F 2013 , ' Statistical bias in isotope ratios ' , Journal of Analytical Atomic Spectrometry , vol. 28 , no. 1 , pp. 52-58 . https://doi.org/10.1039/C2JA10205Fen
dc.identifier.issn0267-9477
dc.identifier.otherORCID: /0000-0003-1406-6855/work/64034761
dc.identifier.urihttps://hdl.handle.net/10023/15976
dc.descriptionDr. Coath is supported in this work by STFC grant ref. ST/F002734/1.en
dc.description.abstractThis paper presents the mathematics of the systematic bias in the expected value of the ratio of two noise- corrected Poisson-distributed variables, such as ion counting measurements. Such bias can lead to the reporting of incorrect ratios and, in some cases, systematic correlations with other measurements which can impact the scientific interpretation. We describe a novel method of treating such measurements which results in a negligible, exponentially small bias. We also re-examine the conventional approach deriving an exact expression for the bias including the noise correction explicitly.
dc.format.extent7
dc.format.extent1932597
dc.language.isoeng
dc.relation.ispartofJournal of Analytical Atomic Spectrometryen
dc.subjectGE Environmental Sciencesen
dc.subjectQA Mathematicsen
dc.subject.lccGEen
dc.subject.lccQAen
dc.titleStatistical bias in isotope ratiosen
dc.typeJournal articleen
dc.contributor.institutionUniversity of St Andrews. School of Earth & Environmental Sciencesen
dc.identifier.doi10.1039/C2JA10205F
dc.description.statusPeer revieweden


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