Register to study through Unisa
| Honours |
Year module |
NQF level: 8 |
Credits: 12 |
| Module presented in English |
Module presented online |
|
Co-requisite: STA4803, STA4804 |
| Purpose: About this module: The purpose of the module is to equip students with the knowledge and skills to apply the nonparametric regression methods such as kernel and spline smoothing with emphasis on nonparametric wavelet regression, additive model and non-parametric density estimation. Qualifying students will be able to apply these methods in finance, medical and environment sciences. Furthermore, the students will be able to use the statistical software such as R and SAS to analyze real data using nonparametric regression and other commonly used nonparametric methods.
|