An empirical evaluation of multivariate sequential procedures for testing means

dc.contributor.authorAppleby, Robert Houstonen
dc.contributor.departmentStatisticsen
dc.date.accessioned2017-03-10T18:28:48Zen
dc.date.available2017-03-10T18:28:48Zen
dc.date.issued1960en
dc.description.abstractThe purpose of this study is to make an empirical evaluation of Multivariate Sequential Procedures for Testing Means as proposed by J. E. Jackson. This was done by simulated sampling from a multivariate normal population with known means, both when the variance-covariance matrix is assumed known (Sequential χ²-Test), and when it is assumed unknown (Sequential T² -Test). The results indicate the test procedure, either the Sequential χ²-Test or the Sequential T² -Test, lead to satisfactory decisions. The tests are conservative but the α and β errors are of an appropriate magnitude. The method (Bhate's Conjecture) used to approximate the Average Sample Number appears to give good estimates of the size of sample needed to obtain a decision.en
dc.description.degreeMaster of Scienceen
dc.format.extent44 leavesen
dc.format.mimetypeapplication/pdfen
dc.identifier.urihttp://hdl.handle.net/10919/76124en
dc.language.isoen_USen
dc.publisherVirginia Polytechnic Instituteen
dc.relation.isformatofOCLC# 26607100en
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subject.lccLD5655.V855 1960.A665en
dc.subject.lcshMultivariate analysisen
dc.titleAn empirical evaluation of multivariate sequential procedures for testing meansen
dc.typeThesisen
dc.type.dcmitypeTexten
thesis.degree.disciplineStatisticsen
thesis.degree.grantorVirginia Polytechnic Instituteen
thesis.degree.levelmastersen
thesis.degree.nameMaster of Scienceen

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