COMPARISON OF SOME PARAMETRIC AND NON-PARAMETRIC STATISTICAL METHODS

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dc.contributor.authorABDUL, IBRAHIM FAROUK
dc.date.accessioned2014-02-19T10:00:30Z
dc.date.available2014-02-19T10:00:30Z
dc.date.issued2008-12
dc.descriptionA THESIS SUBMITTED TO THE POSTGRADUATE SCHOOL, AHMADU BELLO UNIVERSITY, ZARIA NIGERIA IN PARTIAL FULFILLMENT FOR THE AWARD OF THE MASTER OF SCIENCE IN STATISTICS DEPARTMENT OF MATHEMATICS AHMADU BELLO UNIVERSITY, ZARIA NIGERIA.en_US
dc.description.abstractMultivariate parametric and nonparametric techniques are two broad statistical methods for testing independence among continuous random variables. In this thesis, multivariate parametric and nonparametric techniques were performed to tests for independence using multivariate data collected from Human Development Report 2005. Three parametric tests, Hotelling’s T2, Wilks Lambda and Canonical correlation analysis were performed. Wilcoxon, Friedman, Kendall’s and Cochran are the nonparametric analysis performed. The results show that parametric and nonparametric tests of hypothesis yield the same results.en_US
dc.identifier.urihttp://hdl.handle.net/123456789/2080
dc.language.isoenen_US
dc.subjectCOMPARISON,en_US
dc.subjectPARAMETRIC,en_US
dc.subjectNON-PARAMETRIC,en_US
dc.subjectSTATISTICAL,en_US
dc.subjectMETHODSen_US
dc.titleCOMPARISON OF SOME PARAMETRIC AND NON-PARAMETRIC STATISTICAL METHODSen_US
dc.typeThesisen_US
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