Power studies of multivariate two-sample tests of comparison

dc.contributor.advisor	Koen, Chris
dc.contributor.author	Siluyele, Ian John
dc.contributor.other	Dept. of Statistics
dc.contributor.other	Faculty of Science
dc.date.accessioned	2013-10-24T10:03:02Z
dc.date.available	2009/10/09 14:35
dc.date.available	2009/10/09
dc.date.available	2013-10-24T10:03:02Z
dc.date.issued	2007
dc.identifier.uri	http://hdl.handle.net/11394/2362
dc.description	Magister Scientiae - MSc	en_US
dc.description.abstract	The 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.language.iso	en	en_US
dc.publisher	University of the Western Cape	en_US
dc.subject	Multivariate analysis	en_US
dc.subject	Data processing	en_US
dc.subject	Statistics	en_US
dc.subject	Analysis	en_US
dc.title	Power studies of multivariate two-sample tests of comparison	en_US
dc.type	Thesis	en_US
dc.rights.holder	University of the Western Cape	en_US
dc.description.country	South Africa