• An application of copulas to improve PCA biplots for multivariate extremes 

      Perrang, Justin (Stellenbosch : Stellenbosch University, 2018-12)
      ENGLISH SUMMARY : Principal Component Analysis (PCA) biplots is a valuable means of visualising high dimensional data. The application of PCA biplots over a wide variety of research areas containing multivariate data is ...
    • An application of geometric data analysis techniques to South African crime data 

      Gurr, Benjamin William (Stellenbosch : Stellenbosch University, 2016-12)
      ENGLISH SUMMARY : Due to the high levels of violent crime in South Africa, improved methods of analysis are required in order to better scrutinize these statistics. This study diverges from traditional multivariate data ...
    • Categorical CVA biplots 

      Rodwell, David Timothy (Stellenbosch : Stellenbosch University, 2020-12)
      ENGLISH ABSTRACT: In the modern era a great amount of emphasis is placed on data visualisation, especially in cases where a large amount of data is present. Usually, in these instances, the data is of a high-dimensional ...
    • Estimating expected exposure profiles using biplot interpolation 

      Van Niekerk, Francesca (Stellenbosch : Stellenbosch University, 2020-03)
      ENGLISH SUMMARY : The accounting standards provides guidelines on how to determine the fair value for a financial asset or liability held at fair value. When considering the fair value of derivative instruments, some additional ...
    • Exploding biplots with density axes in Plotly 

      Sandilands, Delia (Stellenbosch : Stellenbosch University, 2020-12)
      ENGLISH SUMMARY : Biplots are visual approximations to multidimensional data sets and are very useful in data driven procedures. However, certain issues occur when dealing with a large number of observations or variables. ...