Small response surface designs for metamodel estimation

dc.contributor.authorBatmaz, I
dc.contributor.authorTunali, S
dc.date.accessioned2019-10-27T19:01:32Z
dc.date.available2019-10-27T19:01:32Z
dc.date.issued2003
dc.departmentEge Üniversitesien_US
dc.description.abstractThe primary objective of this study is to provide the novice researchers in simulation metamodeling with guidance on how to use small designs for metamodel estimation especially when cost effectiveness is a concern. This study was carried out in three phases: First, a group of second-order small designs were evaluated with respect to various criteria. Next, the metamodel of a time-shared computer system was estimated using these designs. Finally, the predictive capabilities of these small designs in giving the best metamodel fit were investigated, and also, the performance of small designs was compared with two large size standard designs. Results indicate that the metamodel estimated using the hybrid design has the best predictive capability among the small designs, and its performance competes with that of the standard designs studied. (C) 2002 Published by Elsevier Science B.V.en_US
dc.identifier.doi10.1016/S0377-2217(02)00207-2
dc.identifier.endpage470en_US
dc.identifier.issn0377-2217
dc.identifier.issn1872-6860
dc.identifier.issn0377-2217en_US
dc.identifier.issn1872-6860en_US
dc.identifier.issue2en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage455en_US
dc.identifier.urihttps://doi.org/10.1016/S0377-2217(02)00207-2
dc.identifier.urihttps://hdl.handle.net/11454/37909
dc.identifier.volume145en_US
dc.identifier.wosWOS:000180099100017en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherElsevier Science Bven_US
dc.relation.ispartofEuropean Journal of Operational Researchen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectsimulationen_US
dc.subjectsmall second-order designsen_US
dc.subjectregression metamodelsen_US
dc.subjectdesign evaluationen_US
dc.subjectpredictive capability assessmenten_US
dc.titleSmall response surface designs for metamodel estimationen_US
dc.typeArticleen_US

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