Bayesian analysis of band-broadening models used in high performance liquid chromatography

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dc.contributor.author Armstrong, Nicholas en_US
dc.date.accessioned 2009-06-26T04:10:49Z
dc.date.available 2009-06-26T04:10:49Z
dc.date.issued 2006 en_US
dc.identifier 2006003974 en_US
dc.identifier.citation Armstrong, N. 2006 'Bayesian analysis of band-broadening models used in high performance liquid chromatography ', Chemometrics and Intelligent Laboratory Systems, vol. 81, no. 2, pp. 188-201. en_US
dc.identifier.issn 0169-7439 en_US
dc.identifier.other C1 en_US
dc.identifier.uri http://hdl.handle.net/10453/528
dc.description.abstract Extensive studies into band-broadening of high performance liquid chromatography (HPLC) data have seen numerous models being proposed to account for the underlying physical and chemical processes responsible for the broadening. The experimental analysis en_US
dc.publisher Elsevier Science Bv en_US
dc.relation.isbasedon http://dx.doi.org/10.1016/j.chemolab.2005.12.003 en_US
dc.title Bayesian analysis of band-broadening models used in high performance liquid chromatography en_US
dc.parent Chemometrics And Intelligent Laboratory Systems en_US
dc.journal.volume 81 en_US
dc.journal.number 2 en_US
dc.publocation Amsterdam, The Netherlands en_US
dc.identifier.startpage 188 en_US
dc.identifier.endpage 201 en_US
dc.cauo.name SCI.Physics and Advanced Materials en_US
dc.conference Verified OK en_US
dc.for 030100 en_US
dc.personcode 921034 en_US
dc.percentage 100 en_US
dc.classification.name Analytical Chemistry en_US
dc.classification.type FOR-08 en_US
dc.description.keywords Bayesian analysis; model selection; marginalised likelihood; integrated likelihood; evidence; high performance liquid chromatography en_US
dc.staffid 921034 en_US


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