Browsing Statistics by Title
Now showing items 21-40 of 119
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Bayesian spatial models with application to HIV, TB and STI modeling in Kenya.
(2014)This dissertation is concerned with developing and extending statistical models in the area of spatial modeling with particular interest towards application to HIV, TB and HSV-2 data. Hierarchical spatial modeling is a ... -
Combining dynamic factor models and artificial neural networks in time series forecasting with applications.
(2014)This study investigates and examines the advantages and forecasting performance of combining the dynamic factor model (DFM) and artificial neural networks (ANNs) leading to new novel models that have capabilities to produce ... -
Comparative approaches to handling missing data, with particular focus on multiple imputation for both cross-sectional and longitudinal models.
(2012)Much data-based research are characterized by the unavoidable problem of incompleteness as a result of missing or erroneous values. This thesis discusses some of the various strategies and basic issues in statistical ... -
A comparison of cancer classification methods based on microarray data.
(2018)Cancer is among the leading causes of death in both developed and developing countries. Through gene expression profiling of tumors, the accuracy of cancer classification has been enhanced, leading to correct diagnoses ... -
Completion of an incomplete market by quadratic variation assets.
(2011)It is well known that the general geometric L´evy market models are incomplete, except for the geometric Brownian and the geometric Poissonian, but such a market can be completed by enlarging it with power-jump assets ... -
A complex survey data analysis of TB and HIV mortality in South Africa.
(2012)Many countries in the world record annual summary statistics such as economic indicators like Gross Domestic Product (GDP) and vital statistics for example the number of births and deaths. In this thesis we focus on mortality ... -
Count data modelling application.
(2019)The rapid increase of total children ever born without a proportionate growth in the Nigerian economy has been a concern and making prediction with count data requires applying appropriate regression model.. As count data ... -
Covariates and latents in growth modelling.
(2014)The growth curve models are the natural models for the increment processes taking place gradually over time. When individuals are observed over time it is often apparent that they grow at different rates, even though ... -
D-optimal designs for drug synergy.
(2009)This thesis is fo cused on the construction of optimal designs for detecting drug interaction using the two-variable binary logistic mo del. Two sp eci c mo dels are considered: (1) the binary two-variable logistic mo del ... -
Estimating risk determinants of HIV and TB in South Africa.
(2009)Where HIV/AIDS has had its greatest adverse impact is on TB. People with TB that are infected with HIV are at increased risk of dying from TB than HIV. TB is the leading cause of death in HIV individuals in South Africa. ... -
Estimating the force of infection from prevalence data : infectious disease modelling.
(2013)By knowing the incidence of an infectious disease, we can ascertain the high risk factors of the disease as well as the e ectiveness of awareness programmes and treatment strategies. Since the work of Hugo Muench in 1934, ... -
Estimation and analysis of measures of disease for HIV infection in childbearing women using serial seroprevalence data.
(2011)The prevalence and the incidence are two primary epidemiological parameters in infectious disease modelling. The incidence is also closely related to the force of infection or the hazard of infection in survival ... -
Evaluation of strategies to combine multiple biomarkers in diagnostic testing.
(2012)A challenge in clinical medicine is that of correct diagnosis of disease. Medical researchers invest considerable time and effort to enhance accurate disease diagnosis. Diagnostic tests are important components in modern ... -
Factors affecting the health status of the people of Lesotho.
(2007)Lesotho, like any other country of the world, is faced with the task of improving the -
Flexible statistical modeling of deaths by diarrhoea in South Africa.
(2013)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 ... -
Flexible statistical modelling in food insecurity risk assessment.
(2015)Food insecurity has remained a persistent problem in Sub-Saharan Africa. Conflict and other protracted crisis have rendered a significant proportion of Africa’s populations to suffer the risk of food insecurity, as their ... -
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 ... -
Forecasting the monthly electricity consumption of municipalities in KwaZulu-Natal.
(1997)Eskom is the major electricity supplier in South Africa and medium term forecasting within the company is a critical activity to ensure that enough electricity is generated to support the country's growth, that the networks ... -
A frequentist and a Bayesian approach to estimating HIV prevalence accounting for non-response using population-based survey data.
(2016)Enhanced and novel frequentist and Bayesian approaches to estimating disease measures such as HIV prevalence utilizing the recent advances in statistical computing software are explored and applied making use of ... -
Garch modelling of volatility in the Johannesburg Stock Exchange index.
(2013)Modelling and forecasting stock market volatility is a critical issue in various fields of finance and economics. Forecasting volatility in stock markets find extensive use in portfolio management, risk management and ...