Theses and Dissertations (Statistics)

Theses and Dissertations (Statistics)

 

Recent Submissions

  • 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.
  • Kraamwinkel, Christine (University of Pretoria, 2017)
    In this mini-dissertation we briefly describe the context and development of spatial statistics, spatial sampling and point patterns. Thereafter spatial homogeneity is considered in detail. Before selecting an appropriate ...
  • Haywood, Andries Stefan (University of Pretoria, 2017)
    In this mini-dissertation the importance of having an automated object classification procedure for classifying nanoparticles in nanoscale images (or referred to as nanoimages in this mini-dissertation) is discussed, and ...
  • Reynolds, Hayley (University of Pretoria, 2017)
    Rabies has been reported in Tanzania, mainly in the southern highland regions, since 1954. To date, rabies is endemic in all districts in Tanzania and efforts are being made to contain the disease. It was determined that ...
  • Janse van Rensburg, Charl (University of Pretoria, 2017)
    In recent times Big Data has been talked about in many areas, ranging from information technology, to government and healthcare, and to business. Big Data is changing the world we live in in many respects, especially as ...
  • Loots, Mattheus Theodor (University of Pretoria, 2017)
    Advances in computing has undoubtfully been one of the main catalysts in the formation of the discipline always known as Statistics. A fundamental question addressed here is whether computing facilities, such as parallel ...
  • Oppel, Anel (University of Pretoria, 2016)
    The event of a default for low-default portfolios, such as sovereign debt or banks, have received much attention as a result of the increasing instabilities in financial markets. The lack of sufficient default information ...
  • Lau, Kwok-Ho (University of Pretoria, 2016)
    In the process of data acquisition the information obtained are more than often contaminated by noise. To purify the data smoothers are designed to remove the noise. The LULU operators are such smoothers, more speci ...
  • Hendriks, Johannes Jurgens (University of Pretoria, 2016)
    No abstract
  • Celliers, Rauldo Eybers (University of Pretoria, 2016)
    Runs-type signalling rules and sensitizing rules (Page (1955)) were originally introduced to detect non-random patterns in the process being monitored (Montgomery (2013)). Further development led to runs-type signalling ...
  • Makhanya, Nhlanhla Well-Beloved (University of Pretoria, 2015)
    The aim of the study was to survey permutation tests, bootstrapping and jackknife methods and their application to significance testing of regression coefficients in linear regression analysis. A Monte Carlo simulation ...

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