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Approximations: Replacing random variables with their means

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dc.contributor.authorGani, Joseph
dc.date.accessioned2015-12-13T22:34:47Z
dc.date.available2015-12-13T22:34:47Z
dc.date.issued2014
dc.date.updated2015-12-11T09:24:09Z
dc.description.abstractOne of the standard methods for approximating a bivariate continuous-time Markov chain {X(t), Y(t): t ≥ 0}, which proves too difficult to solve in its original form, is to replace one of its variables by its mean, This leads to a simplified stochastic p
dc.identifier.issn0021-9002
dc.identifier.urihttp://hdl.handle.net/1885/76289
dc.publisherApplied Probability Trust
dc.sourceJournal of Applied Probability
dc.titleApproximations: Replacing random variables with their means
dc.typeJournal article
local.bibliographicCitation.lastpage62
local.bibliographicCitation.startpage57
local.contributor.affiliationGani, Joseph, College of Physical and Mathematical Sciences, ANU
local.contributor.authoruidGani, Joseph, v000051
local.description.notesImported from ARIES
local.identifier.absfor010404 - Probability Theory
local.identifier.absseo970101 - Expanding Knowledge in the Mathematical Sciences
local.identifier.ariespublicationU3488905xPUB5132
local.identifier.citationvolume51A
local.identifier.scopusID2-s2.0-84918491371
local.type.statusPublished Version

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