Researchers perform multivariate techniques MANOVA, discriminant analysis and factor analysis. The most common applications in social science are to identify and test the effects from the analysis. The use of this ...

The premise of this study is that price fluctuations amongst exchange rates, stock and commodities markets are dynamically linked. The study models monthly price changes amongst these markets in 20 highest World Bank ...

This study uses aspects of time series methodology to model and forecast major taxes such as Personal Income Tax (PIT), Corporate Income Tax (CIT), Value Added Tax (VAT) and Total Tax Revenue(TTAXR) in the South African ...

If solar power is to be integrated into the national grid in large volumes, it should be backed up by accurate short-term solar irradiance forecasting information. This is because system de signers in the solar power markets ...

Classic parametric statistical tests, like the analysis of variance (ANOVA), are powerful tools used for comparing population means. These tests produce accurate results provided the data satisfies underlying assumptions ...

South Africa is rich in platinum group metals (PGMs) and these metals are important in providing jobs as well as investments some of which have been seen in the Johannesburg Securities Exchange (JSE). In this country this ...

Multivariate longitudinal ordinal data are collected for studying the dependence between multivariate ordinal outcomes, the changes over time and associated determinant factors. This emanates from the interdependence ...

Policy lapse is a vital component in life insurance as it affects future pricing and impacts the solvency of the life insurer. Accurate prediction of lapse will help the insurers to implement personalised retention strategies ...

The importance of robust variable selection and regularization as solutions to the collinearity influential high leverage points’ adverse effects in a quantile regression (QR) setting cannot be overemphasized, just as ...