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Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/134937
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dc.contributor.authorBean, N.G.-
dc.contributor.authorO'Reilly, M.M.-
dc.contributor.authorPalmowski, Z.-
dc.date.issued2022-
dc.identifier.citationStochastic Models, 2022; 38(3):416-461-
dc.identifier.issn1532-6349-
dc.identifier.issn1532-4214-
dc.identifier.urihttps://hdl.handle.net/2440/134937-
dc.descriptionPublished online: 14 Apr 2022-
dc.description.abstractStochastic fluid-fluid models (SFFMs) offer powerful modeling ability for a wide range of real-life systems of significance. The existing theoretical framework for this class of models is in terms of operator-analytic methods. For the first time, we establish matrix-analytic methods for the efficient analysis of SFFMs. We illustrate the theory with numerical examples.-
dc.description.statementofresponsibilityNigel G. Beana, Małgorzata M. O, Reilly, and Zbigniew Palmowskic-
dc.language.isoen-
dc.publisherTaylor & Francis-
dc.rights© 2022 Taylor & Francis Group, LLC-
dc.subjectLaplace-Stieltjes transform-
dc.subjectMarkov chain-
dc.subjectstationary analysis-
dc.subjectstochastic fluid-fluid model-
dc.subjectstochastic fluid model-
dc.subjecttransient analysis-
dc.titleMatrix-analytic methods for the analysis of stochastic fluid-fluid models-
dc.typeJournal article-
dc.identifier.doi10.1080/15326349.2022.2049823-
dc.relation.granthttp://purl.org/au-research/grants/arc/LP140100152-
pubs.publication-statusPublished-
dc.identifier.orcidBean, N.G. [0000-0002-5351-3104]-
Appears in Collections:Mathematical Sciences publications

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