Show simple item record

dc.contributor.authorCrenshaw, Marnita Delraeen_US
dc.date.accessioned2014-03-14T21:41:09Z
dc.date.available2014-03-14T21:41:09Z
dc.date.issued1989-08-05en_US
dc.identifier.otheretd-07242012-040118en_US
dc.identifier.urihttp://hdl.handle.net/10919/43895
dc.description.abstractTo facilitate the design of efficient simulation experiments, Schruben and Margolin (1978) recommend a correlation induction strategy for orthogonally blockable experimental designs. The objective of such experiments is to estimate a general linear regression model on the basis of a quantitative response variable generated by the simulation model. Nozari, Arnold, and Pegden (1987) develop optimal statistical procedures for analyzing simulation experiments performed under the Schruben-Margolin correlation induction strategy. Formulas are given for parameter estimation, hypothesis testing, and confidence interval estimation. The validity of this statistical analysis procedure is contingent upon the presence of a pure error component in the response. The goal of this thesis is to provide an appropriate statistical analysis technique for simulation experiments conducted under the Schruben-Margolin correlation induction strategy in the absence of pure error, and to identify conditions under which the pure error component is absent. Often, in order to construct valid inferences on the responses from a simulation experiment, the technique used to execute the simulation experiment must be properly identified. For purposes of this research, the identification problem takes the form of ensuring that the hypothesized metamodel is appropriate for the number of random number streams used to induce correlations between responses across design points.en_US
dc.format.mediumBTDen_US
dc.publisherVirginia Techen_US
dc.relation.haspartLD5655.V855_1989.C746.pdfen_US
dc.subjectComputer simulationen_US
dc.subject.lccLD5655.V855 1989.C746en_US
dc.titleStatistical analysis under the Schruben-Margolin correlation induction strategy in the absence of pure erroren_US
dc.typeThesisen_US
dc.contributor.departmentIndustrial Engineering and Operations Researchen_US
dc.description.degreeMaster of Scienceen_US
thesis.degree.nameMaster of Scienceen_US
thesis.degree.levelmastersen_US
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen_US
thesis.degree.disciplineIndustrial Engineering and Operations Researchen_US
dc.contributor.committeechairTew, Jeffrey D.en_US
dc.contributor.committeememberSchmidt, Joseph W.en_US
dc.contributor.committeememberGreene, Timothy J.en_US
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-07242012-040118/en_US
dc.date.sdate2012-07-24en_US
dc.date.rdate2012-07-24
dc.date.adate2012-07-24en_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record