Theses and Dissertations (Statistics)

Theses and Dissertations (Statistics)

 

Recent Submissions

  • Cronje, Tanita (University of Pretoria, 2014-05)
    In this decision-driven era, it has become vital for modelers to efficiently model consumer choices and preferences (from a marketing perspective for instance). Conjoint analysis is a known method which has been used to ...
  • Ferreira, Johannes T. (University of Pretoria, 2014-04)
    The univariate and bivariate central chi-square- and F distributions have received a decent amount of attention in the literature during the past few decades; the noncentral counterparts of these distributions have been ...
  • Du Toit, Benjamin David (University of Pretoria, 2014)
    Data Compression Due to limitations in data storage and bandwidth, data of all types has often required compression. This need has spawned many different methods of compressing data. In certain situations the fidelity of ...
  • Diko, Mandla Doctor (University of Pretoria, 2014)
    In Chapter 1, we give a brief introduction to statistical process control (SPC) and provide definitions as well as background information regarding the research conducted in this mini-dissertation. This will aid in ...
  • Vithal, Nishay (University of Pretoria, 2013)
    This mini-dissertation seeks to provide the reader with an understanding of one of the most popular boosting methods in use today called Adaboost and its first extension Adaboost.M1. Boosting, as the name suggests, is an ...
  • van Wyk de Vries, Jan (University of Pretoria, 2013)
    The Cox-Proportional Hazards model is introduced as a potential tool to understand customer behavior relating to churn or disconnections in the telecommunications space. An overview of Survival Analysis is provided along ...
  • Shongwe, Sandile Charles (University of Pretoria, 2014)
    No abstract
  • Roux, Hannaline (University of Pretoria, 2019)
    If a known distribution on a real line is given, it can be wrapped on the circumference of a unit circle. This research entails the study of a univariate skew-normal distribution where the skew-normal distribution is ...
  • Mjali, Siyabonga Zimozoxolo (University of Pretoria, 2020)
    Large volumes of text is being generated every minute which necessitates effective and robust tools to retrieve relevant information. Supervised learning approaches have been explored extensively for this task, but it is ...
  • Thiede, Renate Nicole (University of Pretoria, 2019)
    Informal unpaved roads in developing countries arise naturally through human movement and informal housing setups. These roads are not authorised nor maintained by council, nor recorded in official databases or online maps. ...
  • Smit, Ansie (University of Pretoria, 2019)
    A generic methodology for probabilistic natural hazard assessment is presented. Three area-characteristic recurrence parameters are defined by combining a Poisson process with the relevant natural-hazard-frequency–event-size ...
  • Steyn, Carl (University of Pretoria, 2018)
    Neural Networks (NNs) play an integral role in modern machine learning development. Recent advances in NN research have led to a wide array of applications, ranging from medical diagnosis [1] to complex problems such as ...
  • Papavarnavas, Christine (University of Pretoria, 2018)
    There are various methods to efficiently denoise an image, one method is Principle Component Analysis (PCA). Classical PCA reduces the dimensionality of a dataset, transforming the original dataset to preserve only significant ...
  • van Niekerk, Carel (University of Pretoria, 2018)
    Computer vision is a very important research area and is continuously growing. One of the prevalent research areas in computer vision is image matching. In image matching there are two main components, namely feature ...
  • Yoo, Keunyoung (University of Pretoria, 2018)
    Structural equation modelling (SEM) is carried out with the aim of testing hypotheses on the model of the researcher in a quantitative way, using the sampled data. Although SEM has developed in many aspects over the past ...
  • Kwinje, Clemence Rangarirai (University of Pretoria, 2017)
    In this dissertation, we t various nancial models to observed stock prices and we calculate the option prices under each of these models. All of the models considered are based on Lévy processes, which are processes with ...
  • Delport, Marion (University of Pretoria, 2017)
    In this study the nite mixture of multivariate Gaussian distributions is discussed in detail including the derivation of maximum likelihood estimators, a discussion on identi ability of mixture components as well as a ...
  • Rademeyer, Estian (University of Pretoria, 2017)
    This dissertation investigates the performance of two-class classi cation credit scoring data sets with low default ratios. The standard two-class parametric Gaussian and naive Bayes (NB), as well as the non-parametric ...
  • Modiba, Jacob Mantjitji (University of Pretoria, 2018-03)
    Sparse estimation methods are aimed at using or obtaining parsimonious representations of data or models. Optimization is seeking values of a variable that leads to an optimal value of the function that is to be optimized. ...
  • STK 795 Students, WST 795 Students (University of Pretoria, 2015)
    These documents contain the honours research reports for each year for the Department of Statistics.

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