COMPARISON OF SOME PARAMETRIC AND NON-PARAMETRIC STATISTICAL METHODS
COMPARISON OF SOME PARAMETRIC AND NON-PARAMETRIC STATISTICAL METHODS
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Date
2008-12
Authors
ABDUL, IBRAHIM FAROUK
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Abstract
Multivariate 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.
Description
A 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.
Keywords
COMPARISON,, PARAMETRIC,, NON-PARAMETRIC,, STATISTICAL,, METHODS