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 generalized linear models (GLMs) such as regression models for binary data, models for count data (e.g., Poisson regression) and log-linear models for contingency tables, in a wide range of real-life situations in various fields, e.g. in financial areas, biological sciences and health sciences. The module will also cover extensions of GLM theory to models for over-dispersion and quasi-likelihood estimation. Students who complete this module can assess whether a GLM can be used in a given situation, manage the statistical software such as R, SAS and STATA, to carry out a statistical analysis, and interpret the results. |