Power studies of multivariate two-sample tests of comparison

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dc.contributor.advisorKoen, Chris
dc.contributor.authorSiluyele, Ian John
dc.contributor.otherDept. of Statistics
dc.contributor.otherFaculty of Science
dc.date.accessioned2013-10-24T10:03:02Z
dc.date.accessioned2024-05-14T09:53:13Z
dc.date.available2009/10/09 14:35
dc.date.available2009/10/09
dc.date.available2013-10-24T10:03:02Z
dc.date.available2024-05-14T09:53:13Z
dc.date.issued2007
dc.descriptionMagister Scientiae - MScen_US
dc.description.abstractThe multivariate two-sample tests provide a means to test the match between two multivariate distributions. Although many tests exist in the literature, relatively little is known about the relative power of these procedures. The studies reported in the thesis contrasts the effectiveness, in terms of power, of seven such tests with a Monte Carlo study. The relative power of the tests was investigated against location, scale, and correlation alternatives.en_US
dc.description.countrySouth Africa
dc.identifier.urihttps://hdl.handle.net/10566/14902
dc.language.isoenen_US
dc.publisherUniversity of the Western Capeen_US
dc.rights.holderUniversity of the Western Capeen_US
dc.subjectMultivariate analysisen_US
dc.subjectData processingen_US
dc.subjectStatisticsen_US
dc.subjectAnalysisen_US
dc.titlePower studies of multivariate two-sample tests of comparisonen_US
dc.typeThesisen_US

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