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dc.contributor.authorBalci, Osmanen_US
dc.contributor.authorSargent, Robert G.en_US
dc.date.accessioned2013-06-19T14:36:25Z
dc.date.available2013-06-19T14:36:25Z
dc.date.issued1981
dc.identifierhttp://eprints.cs.vt.edu/archive/00000868/en_US
dc.identifier.urihttp://hdl.handle.net/10919/20360
dc.description.abstractA procedure is developed by using Hotelling's two-sample T^2 test to test the validity of a multivariate response simulation model that represents an observable system. The validity of the simulation model is tested with respect to the mean behavior under a given experimental frame. 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 model builder's risk to choose for testing the validity under a satisfactory model user's risk. The procedure for validation is illustrated for a simulation model that represents an M/M/l queueing system with two performance measures of interest.en_US
dc.format.mimetypeapplication/pdfen_US
dc.publisherDepartment of Computer Science, Virginia Polytechnic Institute & State Universityen_US
dc.relation.ispartofHistorical Collection(Till Dec 2001)en_US
dc.titleValidation of Multivariate Response Simulation Models by Using Hotelling's Two-sample T^2 Testen_US
dc.typeTechnical reporten_US
dc.identifier.trnumberCS81016-Ren_US
dc.type.dcmitypeTexten_US
dc.identifier.sourceurlhttp://eprints.cs.vt.edu/archive/00000868/01/CS81016-R.pdf


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