• A Neural Network Enhanced RSA Model Towards a Confidentiality-Integrity-Authenticity Compliant Hybrid 

  Magoma, Promise Tshepiso (2021-03-19)

  Data security is an important aspect in the field of data science where data collection, analysis, interpretation, and sharing are a primary goal. To prevent unauthorized access to data, creative methods to securing data ...
• A Bayesian multilevel model for women unemployment in South Africa 

  Ramarumo, V. P. (2021-08)

  The study is aimed at investigating and explaining the demographic and socio-economic determinants components a ecting women unemployment in South Africa. The classical and the Bayesian estimation approach were applied ...
• Improved Peer-to-Peer Lending Credit Scoring Mechanism using Machine Learning Techniques 

  Tshauambea, Murendeni (2021-06-18)

  Peer-to-Peer(P2P) financing is a fast developing modern financial exchange network, which bypasses conventional intermediaries by linking lenders and borrowers directly. However, the online P2P lending platforms are faced ...
• Renewable energy forecasting in South Africa 

  Mamphaga, Ratshilengo (2021-06-12)

  Renewable energy forecasts are critical to renewable energy grids and backup plans, operational plans and short-term power purchases. This dissertation focused on forecasting solar irradiance at one radiometric station ...
• Multilevel modelling of determinants of contraceptive method choice among women in South Africa 

  Nematswerani, Phumudzo (2021-04-28)

  Multilevel models take into account various degrees of aggregation in the data. This study aims to bring together multilevel models from both frequentist and Bayesian perspectives in identifying determinants of ...
• Multiscale Modelling of Environmentally Transmitted Infectious Diseases 

  Netshikweta, Rendani (2021-11-19)

  In the field of mathematical biology, researchers are beginning to witness an overwhelming appreciation of multiscale modelling as an essential and suitable technique as opposed to a traditional single-scale modelling ...
• Stochastic mean-reverting volatility forecasting with Augmented ARM-GARCH models 

  Antwi, Albert (2021-04-12)

  The unconditional forecasting structures of non-time varying GARCH models impose monotonic mean reversion paths on medium to long-run volatility forecasts when breaks and changes in the unconditional volatility are ignored ...
• Forecasting hourly solar irradiance in South Africa using machine learning models 

  Mutavhatsindi, Tendani (2020-08-12)

  Solar irradiance forecasting is essential in renewable energy grids amongst others for back-up programming, operational planning, and short-term power purchases. This research study focuses on forecasting hourly solar ...
• Determination of factors that influence digit preference: A Case study of South African Census 2011 Age-Sex date 

  Netshiozwi, Masala (2020-01)

  The age distribution of a population is one of the most important demographic factors that plays a major role in describing and making projections about the population. Age distribution determine life expectancy, fertility ...
• Hierarchical forecasting of electricity demand in South Africa 

  Netshiomvani, Rofhiwa (2020-08-11)

  The study focuses on the application of hierarchical time series in forecasting electricity demand using South African data. The methods used are top-down, bottom-up and optimal combination. The top-down method is based ...
• Forecasting hourly electricity demand in South Africa using machine learning models 

  Thanyani, Maduvhahafani (2020-08-12)

  Short-term load forecasting in South Africa using machine learning and statistical models is discussed in this study. The research is focused on carrying out a comparative analysis in forecasting hourly electricity demand. ...
• Short term wind power forecasting in South Africa using neural networks 

  Daniel, Lucky Oghenechodja (2020-08-11)

  Wind offers an environmentally sustainable energy resource that has seen increasing global adoption in recent years. However, its intermittent, unstable and stochastic nature hampers its representation among other renewable ...
• Variable selection in discrete survival models 

  Mabvuu, Coster (2020-02-27)

  Selection of variables is vital in high dimensional statistical modelling as it aims to identify the right subset model. However, variable selection for discrete survival analysis poses many challenges due to a complicated ...
• A comparison of some methods of modeling baseline hazard function in discrete survival models 

  Mashabela, Mahlageng Retang (2019-09-20)

  The baseline parameter vector in a discrete-time survival model is determined by the number of time points. The larger the number of the time points, the higher the dimension of the baseline parameter vector which often ...
• Recent numerical techniques for differential equations arising in fluid flow problems 

  Muzara, Hillary (2019-09-20)

  The work presented in this thesis is the application of the recently introduced numerical techniques, namely the spectral quasi-linearization method (SQLM) and the bivariate spectral quasi-linearization method (BSQLM), ...
• Modelling equity risk and external dependence: A survey of four African Stock Markets 

  Samuel, Richard Abayomi (2019-05-18)

  The ripple e ect of a stock market crash due to extremal dependence is a global issue with key attention and it is at the core of all modelling e orts in risk management. Two methods of extreme value theory (EVT) were ...
• Probabilistic solar power forecasting using partially linear additive quantile regression models: an application to South African data 

  Mpfumali, Phathutshedzo (2019-05-18)

  This study discusses an application of partially linear additive quantile regression models in predicting medium-term global solar irradiance using data from Tellerie radiometric station in South Africa for the period ...
• Discrete survival models with flexible link functions for age at first marriage among woman in Swaziland 

  Nevhungoni, Thambeleni Portia (2019-05-18)

  This study explores the use of exible link functions in discrete survival models through a simulation study and an application to the Swaziland Demographic and Health Survey (SDHS) data. The objective of the research ...
• Multi-scale modelling of soil-transmitted Helminths infections in humans 

  Makhuvha, Mulalo (2019-05-18)

  In this study, we develop a multiscale model of soil transmitted helminths in humans with a special reference to hookworm infection. Firstly, we develop a single scale model that comprises of five between host scale ...
• Forecasting Foreign Direct Investment in South Africa using Non-Parametric Quantile Regression Models 

  Netshivhazwaulu, Nyawedzeni (2019-05-16)

  Foreign direct investment plays an important role in the economic growth process in the host country, since foreign direct investment is considered as a vehicle transferring new ideas, capital, superior technology and ...

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