Masters Degrees (Statistics)
Recent Submissions
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The impact of semen exposure on cytokine response and bacterial vaginosis in the female genital tract.
(2018)Background: Diverse microbial communities and inflammatory cytokine responses in the lower female genital tract (FGT) are closely associated with increased human immunodeficiency virus (HIV-1) risk, possibly through ... -
Modelling CD4 count and Mortality in a cohort of patients initiated on HAART.
(2018)Longitudinally measured data and time-to-event or survival data are often associated in some ways, and are traditionally analyzed separately (Asar et al., 2015). However, separate analyses are not applicable in this case ... -
Investigating the spatial distribution of diabetes in Africa using both classical and Bayesian approaches.
(2017)Abstract available in PDF file. -
Statistical modelling and spatial mapping of crime in South Africa.
(2016)This research investigates factors related to crime rates for the 2013/2014 South African Crime Survey. The survey provides personal information and crime related experiences for all members of the 25 605 households that ... -
Zero-inflated regression models with application to water quality data from Umgeni Water.
(2017)Abstract available in PDF file. -
Time series analyses of microbiological counts associated with treated water quality data from Umgeni Water.
(2017)Abstract available in PDF file. -
Hierarchical multiple linear regression : a comparative analysis of classical and Bayesian approach.
(2017)Low birth weight is a problem in Africa due to its contribution to high infant mortality. Most studies on low birth weight have neglected the use of Bayesian methods in analysis of medical data. This study aims to investigate ... -
Bayesian data augmentation using MCMC: application to missing values imputation on cancer medication data.
(2017)Missing data is a very serious issue that negatively affect inferences and findings of researchers in data science and statistics. The ignorance of missing data or deletion of cases that contain missing observations may ... -
Modelling South Africa's market risk using the APARCH model and heavy-tailed distributions.
(2016)Estimating Value-at-risk (VaR) of stock returns, especially from emerging economies has recently attracted attention of both academics and risk managers. This is mainly because stock returns are relatively more volatile ... -
Sexual debut: an analysis of the birth to twenty data.
(2015)According to the literature, it is widely accepted that the early timing of first sex among adolescents is related to long-term health effects and current and future risky sexual behaviour (Sandfort et al., 2008). Despite ... -
Modeling financial data using the multivariate generalized hyperbolic distribution and copula.
(2015)Financial data usually possess some characteristics, such as volatility clustering, asymmetry, heavy and semi-heavy tails thus, making it difficult, if not impossible, to use Normal distribution to model them. Statistical ... -
Modelling obesity risk factors among adult females in South Africa via a GLMM: classical and bayesian approaches.
(2016)Abstract available in PDF file. -
Multivariate elliptically contoured stable distributions with applications to BRICS financial data.
(2016)Brazil, Russia, India, China and South Africa (BRICS) are regarded as the ve major emerging economies where all members are a part of a select group of developing industrialized countries. In the nancial industry, ... -
Statistical analysis of the attitudes towards blood donation and transfusion in Mali.
(2016)The demand for blood transfusion in Mali is high, because of the high prevalence of anemia, which is mostly caused by malaria, malnutrition and pregnancy-related complications. In this study a classic KNOWLEDGE, ATTITUDE ... -
Prevalence and risk factors associated with malaria infection in children under the age of fourteen years in Kenya.
(2017)Despite various efforts by multilateral agencies and governments to prevent, control and eliminate malaria, it continues to be a major plague with more than 300 million at risk of infection worldwide. In Kenya, it is still ... -
Modelling of volatility in the South African mining sector : application of ARCH and GARCH models.
(2016)Abstract available in PDF file. -
Spatio-temporal modelling and mapping of malaria in Angola.
(2017)About half of the world's population is at risk of contracting malaria. The growing number of malaria cases and deaths due to this disease in Africa has become a major challenge to public health care sector. Malaria is ... -
Time-to-event analysis models including frailty effects in understanding infant and child mortality in Lesotho.
(2016)This thesis focuses on the determinants of infant and child mortality in Lesotho. It specifically examines how infant and child mortality is related to environmen- tal, demographic and socio-economic factors. A survival ... -
Statistical models to understand factors associated with under-five child mortality in Tanzania.
(2016)The risk or probability of dying between birth and five years of age expressed per 1000 live births is known as Under-five mortality. The well-being of a child reflects household, community and national involvement on ... -
Forecasting electricity demand using univariate time series volatility forecasting models : a case study of Uganda and South Africa.
(2016)Different sectors of economies are significantly affected by the supply of electricity. However, with the available limited resources, supply and demand of electricity in Africa are strongly correlated. In order to ...
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