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dc.contributor.advisorGrassmann, Winfried K.en_US
dc.creatorSethi, Sanjeeven_US
dc.date.accessioned2007-06-11T23:58:22Zen_US
dc.date.accessioned2013-01-04T04:37:04Z
dc.date.available2008-06-13T08:00:00Zen_US
dc.date.available2013-01-04T04:37:04Z
dc.date.created2007en_US
dc.date.issued2007en_US
dc.date.submitted2007en_US
dc.identifier.urihttp://hdl.handle.net/10388/etd-06112007-235822en_US
dc.description.abstractIn simulation, time averages are important for estimating equilibrium parameters. In particular, we would like to have the variance, bias and mean-square error for time averages. First, we will discuss various factors and their effect on the bias, the variance and the mean-square error. We will use the Markovian Event System to model various systems, including M/M/1 queues, M/E_k/1 queues, M/M/c queues, sequential queues, inventory systems and queueing networks. We use a numerical method for the computation of the variance, the bias and the mean-square error of the time average. The effectiveness of the method is tested by experimenting with models of various stochastic systems. The contribution of this thesis is to use numerical and graphical interpretations to study the general characteristics of the measures. The important characteristics included in our study are decomposability and periodicity.en_US
dc.language.isoen_USen_US
dc.subjectTime Averageen_US
dc.subjectMESen_US
dc.subjectRun Lengthen_US
dc.subjectMSEen_US
dc.subjectMarkovian Event Systemen_US
dc.subjectBiasen_US
dc.subjectVarianceen_US
dc.titleFactors affecting the variance, the bias and the MSE of time averages in Markovian event systemsen_US
thesis.degree.departmentComputer Scienceen_US
thesis.degree.disciplineComputer Scienceen_US
thesis.degree.grantorUniversity of Saskatchewanen_US
thesis.degree.levelMastersen_US
thesis.degree.nameMaster of Science (M.Sc.)en_US
dc.type.materialtexten_US
dc.type.genreThesisen_US
dc.contributor.committeeMemberOsgood, Nathanielen_US
dc.contributor.committeeMemberCheston, Grant A.en_US


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