Model selection in a stochastic setting

dc.contributor.authorPrvan, Tania
dc.contributor.authorOsborne, Michael
dc.date.accessioned2015-12-13T22:49:07Z
dc.date.available2015-12-13T22:49:07Z
dc.date.issued2004
dc.date.updated2015-12-11T10:32:38Z
dc.description.abstractDunn & Tichenor (1988) proposed a class of differential equation models to describe the phenomenon of transient sink behaviour for organic emissions exhibited by interior surface films in state-of-the-art emission test chambers. Data from a particular application is used to exemplify the use of a model selection scheme which embeds the derived models within a class of stochastic differential equations. These embeddings have the property that the quality of model fit varies inversely with the strength of the stochastic forcing term. Results of this modelling application are discussed. � Austral. Mathematical Soc. 2005.
dc.identifier.issn1446-8735
dc.identifier.urihttp://hdl.handle.net/1885/80386
dc.publisherAustralian Mathematical Society
dc.sourceANZIAM Journal
dc.titleModel selection in a stochastic setting
dc.typeJournal article
local.bibliographicCitation.lastpageC799
local.bibliographicCitation.startpageC787
local.contributor.affiliationPrvan, Tania, Macquarie University
local.contributor.affiliationOsborne, Michael, College of Physical and Mathematical Sciences, ANU
local.contributor.authoruidOsborne, Michael, u4592503
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor010399 - Numerical and Computational Mathematics not elsewhere classified
local.identifier.ariespublicationMigratedxPub8651
local.identifier.citationvolume45
local.type.statusPublished Version

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