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dc.contributor.advisorPooch, Udo
dc.creatorAdkins, Gerald Wayne
dc.date.accessioned2020-08-21T21:09:14Z
dc.date.available2020-08-21T21:09:14Z
dc.date.issued1978
dc.identifier.urihttps://hdl.handle.net/1969.1/DISSERTATIONS-272238
dc.descriptionVita.en
dc.description.abstractEvent driven sampling in a Markovian feedback queueing system is used to develop a bias or difference term between the steady state number in system computed from two different embedded Markov chains. One of the embedded stochastic processes is shown to lose the Markov property when explicit priorities are introduced into the model. Consequently, several models previously believed to have been solved are shown to be invalid. Using a different approach from previous efforts, solutions to these models are developed. Simulation is used throughout to verify and validate the mathematical solutions.en
dc.format.extentix, 92 leavesen
dc.format.mediumelectronicen
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.rightsThis thesis was part of a retrospective digitization project authorized by the Texas A&M University Libraries. Copyright remains vested with the author(s). It is the user's responsibility to secure permission from the copyright holder(s) for re-use of the work beyond the provision of Fair Use.en
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.subjectComputer simulationen
dc.subjectComputing Scienceen
dc.subject.classification1978 Dissertation A236
dc.subject.lcshComputer simulationen
dc.titleEvent driven sampling in feedback queueing systemsen
dc.typeThesisen
thesis.degree.grantorTexas A&M Universityen
thesis.degree.nameDoctor of Philosophyen
dc.contributor.committeeMemberCurry, Guy L.
dc.contributor.committeeMemberNoe, Philip
dc.contributor.committeeMemberWilliams, Glen
dc.type.genredissertationsen
dc.type.materialtexten
dc.format.digitalOriginreformatted digitalen
dc.publisher.digitalTexas A&M University. Libraries
dc.identifier.oclc5046351


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