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Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/65498
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dc.contributor.authorRoss, J.-
dc.contributor.authorTaimre, T.-
dc.contributor.editorKulasiri, D.-
dc.contributor.editorOxley, L.-
dc.date.issued2007-
dc.identifier.citationProceedings of International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand, December 2007 / L. Oxley and D. Kulasiri (eds.): pp.2939-2945-
dc.identifier.isbn9780975840047-
dc.identifier.urihttp://hdl.handle.net/2440/65498-
dc.description.statementofresponsibilityRoss, J.V. and Taimre, T.-
dc.language.isoen-
dc.publisherModelling and Simulation Society of Australia and New Zealand-
dc.rightsCopyright status unknown-
dc.source.urihttp://www.mssanz.org.au/MODSIM07/authorsN-R.htm#r-
dc.subjectCount data-
dc.subjectMarkov processes-
dc.subjectparameter estimation-
dc.subjecthospital epidemiology-
dc.subjectnosocomial infections-
dc.titleOn the analysis of hospital infection data using Markov models-
dc.typeConference paper-
dc.contributor.conferenceInternational Congress on Modelling and Simulation (17th : 2007 : Christchurch, New Zealand)-
dc.publisher.placeChristchurch, New Zealand-
pubs.publication-statusPublished-
dc.identifier.orcidRoss, J. [0000-0002-9918-8167]-
Appears in Collections:Aurora harvest
Mathematical Sciences publications

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