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dc.contributor.authorMcClean, Sally-
dc.contributor.authorGarg, Lalit-
dc.contributor.authorFullerton, Ken-
dc.date.accessioned2017-12-20T13:36:05Z-
dc.date.available2017-12-20T13:36:05Z-
dc.date.issued2014-
dc.identifier.citationMcClean, S., Garg, L., & Fullerton, K. (2014). Costing mixed coxian phase-type systems with poisson arrivals. Communications in Statistics-Theory and Methods, 43(7), 1437-1452.en_GB
dc.identifier.urihttps://www.um.edu.mt/library/oar//handle/123456789/24952-
dc.description.abstractPreviously, we developed a modeling framework which classifies individuals with respect to their length of stay (LOS) in the transient states of a continuous-time Markov model with a single absorbing state; phase-type models are used for each class of the Markov model. We here add costs and obtain results for moments of total costs in (0, t], for an individual, a cohort arriving at time zero and when arrivals are Poisson. Based on stroke patient data from the Belfast City Hospital we use the overall modelling framework to obtain results for total cost in a given time interval.en_GB
dc.language.isoenen_GB
dc.publisherTaylor & Francis Inc.en_GB
dc.rightsinfo:eu-repo/semantics/restrictedAccessen_GB
dc.subjectHospital utilization -- Length of stayen_GB
dc.subjectMarkov processesen_GB
dc.subjectPhase contrast magnetic resonance imagingen_GB
dc.titleCosting mixed coxian phase-type systems with poisson arrivalsen_GB
dc.typearticleen_GB
dc.rights.holderThe copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holderen_GB
dc.description.reviewedpeer-revieweden_GB
dc.identifier.doi10.1080/03610926.2013.788713-
dc.publication.titleCommunications in Statistics-Theory and Methodsen_GB
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