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dc.contributor.authorEinbeck, Jochen
dc.contributor.authorWilson, Paul
dc.contributor.editorDupuys, Jean-François
dc.contributor.editorJosse, Julie
dc.date.accessioned2019-08-08T09:49:55Z
dc.date.available2019-08-08T09:49:55Z
dc.date.issued2016-07-04
dc.identifier.citationEinbeck, J. and Wilson, P. (2016) A diagnostic plot for assessing model fit incount data models, in Dupuys, J. and Josse, J. (Eds.) Proceedings of the 31st International Workshop on Statistical Modelling. July 4-8, 2016, Rennes, France, pp. 105-110.en
dc.identifier.urihttp://hdl.handle.net/2436/622629
dc.description.abstractWhilst many numeric methods, such as AIC and deviance, exist for assessing model fit, diagrammatic methods are few. We present here a diagnostic plot, to which we refer as ‘Christmas tree plot’ due its characteristic shape, that may be used to visually assess the suitability of a given count data model.en
dc.formatapplication/PDFen
dc.language.isoenen
dc.publisherStatistical Modelling Societyen
dc.relation.urlhttp://www.statmod.org/workshops_archive_proceedings_2016.htmen
dc.subjectDiagnostic ploten
dc.subjectmodel fiten
dc.subjectcount dataen
dc.titleA diagnostic plot for assessing model fit incount data modelsen
dc.typeConference contributionen
dc.date.updated2019-08-06T16:49:24Z
dc.conference.name31st International Workshop on Statistical Modelling
dc.conference.locationRennes
pubs.finish-date2016-07-08
pubs.start-date2016-07-04
dc.date.accepted2016-03-10
rioxxterms.identifier.projectUOW080819PWen
rioxxterms.versionVoRen
rioxxterms.licenseref.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/en
rioxxterms.licenseref.startdate2019-08-08en
dc.source.beginpage105
dc.source.endpage110
refterms.dateFCD2019-08-08T09:49:45Z
refterms.versionFCDVoR
refterms.dateFOA2019-08-08T09:49:55Z


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