Now showing items 1-8 of 8
Factors affecting the health status of the people of Lesotho.
Lesotho, like any other country of the world, is faced with the task of improving the
Modelling residential electricity usage within the eThekwini Municipal Area.
In this study we use linear mixed models to model residential electricity consumption within the eThekwini municipal area. Utilities around South Africa are required to estimate monthly electricity consumptions for each ...
Flexible statistical modeling of deaths by diarrhoea in South Africa.
The purpose of this study is to investigate and understand data which are grouped into categories. Various statistical methods was studied for categorical binary responses to investigate the causes of death from diarrhoea ...
Analysis of a binary response : an application to entrepreneurship success in South Sudan.
Just over half (50:6%) of the population of South Sudan lives on less than one US Dollar a day. Three quarters of the population live below the poverty line (NBS, Poverty Report, 2010). Generally, effective government ...
Investigation of fertilizer usage in Malawi within the rural livelihood diversification project using generalized linear models and quantile regression.
Malawi’s economy relies heavily on agriculture which is threatened by declines in soil fertility. Measures to ensure increased crop productivity at household level include the increased use of inorganic fertilizers. To ...
A study of student academic performance at the University of Natal.
In this dissertation a study will be made of university performance in the Science Faculty of the University of Natal, Durban. In particular, we will develop models that can be used to predict the success rate of a student ...
Linear model diagnostics and measurement error
The general linear model, the weighted linear model, and the generalized linear model are presented in detail. Diagnostic tools for the linear models are considered. In general the standard analysis for linear models does ...
A review of methods for modelling both Gaussian and Non-Gaussian longitudinal data with application.
The study of longitudinal data plays an integral role in medicine, epidemiology, social science, biomedical and health sciences research where repeated measurements are obtained over time for each individual. Generally, ...