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A Methodology For Validating Multivariate Response Simulation Models By Using Simultaneous Confidence Intervals

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dc.contributor.authorBalci, Osmanen
dc.contributor.authorSargent, Robert G.en
dc.contributor.departmentComputer Scienceen
dc.date.accessioned2013-06-19T14:36:29Zen
dc.date.available2013-06-19T14:36:29Zen
dc.date.issued1981en
dc.description.abstractThis paper deals with the substantiation that a multivariate response self- or trace-driven simulation model, within its domain of applicability, possesses a satisfactory range of accuracy consistent with the intended application of the model. A methodology is developed by using simultaneous confidence intervals to do this substantiation with respect to the mean behavior of a simulation model that represents an observable system. A trade off analysis can be performed and judgement decisions can be made as to what data collection budget to allocate, what data collection method to use, how many observations to collect on each of the model and system response variables, and what confidence level to choose for producing the range of accuracy with satisfactory lengths. The methodology is illustrated for self-driven steady-state and trace-driven terminating simulations.en
dc.format.mimetypeapplication/pdfen
dc.identifierhttp://eprints.cs.vt.edu/archive/00000870/en
dc.identifier.sourceurlhttp://eprints.cs.vt.edu/archive/00000870/01/CS81019-R.pdfen
dc.identifier.trnumberCS81019-Ren
dc.identifier.urihttp://hdl.handle.net/10919/20342en
dc.language.isoenen
dc.publisherDepartment of Computer Science, Virginia Polytechnic Institute & State Universityen
dc.relation.ispartofHistorical Collection(Till Dec 2001)en
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.titleA Methodology For Validating Multivariate Response Simulation Models By Using Simultaneous Confidence Intervalsen
dc.typeTechnical reporten
dc.type.dcmitypeTexten

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