Theses and Dissertations (Statistics)

Theses and Dissertations (Statistics)

 

Recent Submissions

  • Kwinje, Clemence Rangarirai (University of Pretoria, 2018)
    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, 2018)
    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, 2018-02-15)
    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 ...
  • Kraamwinkel, Christine (University of Pretoria, 2018)
    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, 2018)
    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, 2018)
    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, 2017)
    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, 2017)
    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 cally, ...
  • Hendriks, Johannes Jurgens (University of Pretoria, 2017)
    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, 2016)
    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 ...
  • Letsoalo,Phineas Masete (University of Pretoria, 2016)
    Measures of poverty are usually estimated using data from national household surveys. The sample design of official household surveys is typically complex, involving multi-stage stratified cluster sampling. Complex sampling ...
  • van Niekerk, Johan Magnus (University of Pretoria, 2015)
    A combination of image processing algorithms can be used to detect and extract certain objects from images. Image noise may obscure the objects in the images and must rst be removed using image denoising and smoothing ...
  • Mazarura, Jocelyn Rangarirai (University of Pretoria, 2015)
    Over the past few years, our increased ability to store large amounts of data, coupled with the increasing accessibility of the internet, has created massive stores of digital information. Consequently, it has become ...
  • Steenkamp, Jan Hendrik Harm (University of Pretoria, 2014)
    A general insurance risk model consists of in initial reserve, the premiums collected, the return on investment of these premiums, the claims frequency and the claims sizes. Except for the initial reserve, these components ...
  • Sepato, Sandra Moepeng (2014)
    The most common analysis used for binary data is generalised linear model (GLM) with either a binomial or bernoulli distribution using either a logit, probit, complementary log-log or other type of link functions. However, ...
  • Van Staden, Paul Jacobus (University of Pretoria, 2014)
    This thesis develops a methodology for the construction of generalized families of probability distributions in the quantile statistical universe, that is, distributions specified in terms of their quantile functions. ...
  • Adamski, Karien (University of Pretoria, 2014)
    This study focuses on the development of a generalised multivariate beta type II distribution as well as the noncentral and bimatrix counterparts with positive domain. These models emanate from a sequential quality ...

View more