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dc.contributor.advisorHaslett, John
dc.contributor.authorSullivan, Carl
dc.date.accessioned2018-12-06T13:13:44Z
dc.date.available2018-12-06T13:13:44Z
dc.date.issued2002
dc.identifier.citationCarl Sullivan, 'A diagnostic for the general linear model : an application to Time Series', [thesis], Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2002, pp 139
dc.identifier.otherTHESIS 6723
dc.identifier.urihttp://hdl.handle.net/2262/85509
dc.description.abstractAn outlier is an observation which is thought to be unusual. The detection of such extreme values is an important issue. Developing a model based on data containing even a single outlier can seriously bias population inferences. The valuable role marginal and conditional residuals play in assuring model robustness is well established in the context of general linear models. The purpose of this thesis is to explore the potential of a statistic, developed for general linear models which incorporates both marginal and conditional residuals, as a diagnostic tool for time series and longitudinal data.
dc.format1 volume
dc.language.isoen
dc.publisherTrinity College (Dublin, Ireland). School of Computer Science & Statistics
dc.relation.isversionofhttp://stella.catalogue.tcd.ie/iii/encore/record/C__Rb12451489
dc.subjectStatistics, Ph.D.
dc.subjectPh.D. Trinity College Dublin
dc.titleA diagnostic for the general linear model : an application to Time Series
dc.typethesis
dc.type.supercollectionthesis_dissertations
dc.type.supercollectionrefereed_publications
dc.type.qualificationlevelDoctoral
dc.type.qualificationnameDoctor of Philosophy (Ph.D.)
dc.rights.ecaccessrightsopenAccess
dc.format.extentpaginationpp 139
dc.description.noteTARA (Trinity’s Access to Research Archive) has a robust takedown policy. Please contact us if you have any concerns: rssadmin@tcd.ie
dc.description.notePrint thesis water damaged as a result of the Berkeley Library Podium flood 25/10/2026


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