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Health inequalities of children in sub-Saharan Africa from 1990 to 2010 : comparative analysis using data from Health and Demographic Surveys
(University of the Western Cape, 2016)
This study is based on the assumption that the under-five mortality rate, in recent decades, has declined, particularly in developing countries. However, all the social strata across many countries do not seem to benefit ...
Parametric deconvolution for a common heteroscedastic case
(University of the Western Cape, 2016)
There exists an extensive statistics literature dealing with non-parametric deconvolution, the estimation of the underlying population probability density when sample values are subject to measurement errors. In parametric ...
Some non-standard statistical dependence problems
(University of the Western Cape, 2016)
The major result of this thesis is the development of a framework for the application
of pair-mixtures of copulas to model asymmetric dependencies in bivariate data. The main motivation is the inadequacy of mixtures of ...
Profiling the French community in the Western Cape, South Africa : evidences from an innovative survey
(University of the Western Cape, 2016)
In South Africa, demographics consequently play a prominent role in public policy and the country (rainbow nation) or often called a World in One Country, provide interesting interactions between the whites, coloured and ...
Survival modelling and analysis of HIV/AIDS patients on HIV care and antiretroviral treatment to determine longevity prognostic factors
(University of the Western Cape, 2016)
The HIV/AIDS pandemic has been a torment to the African developmental agenda,
especially the Southern African Development Countries (SADC), for the past two
decades. The disease and condition tends to affect the productive ...
Imputation techniques for non-ordered categorical missing data
(University of the Western Cape, 2016)
Missing data are common in survey data sets. Enrolled subjects do not often have data recorded for all variables of interest. The inappropriate handling of missing data may lead to bias in the estimates and incorrect ...