Not recorded
Topics covered:
1. Review of Linear Regression
2. Regularised Regression
3. Generalised Linear Models
4. Quasi-Likelihood Models
5. Regression for Counts
6. Mixed Effects Models
7. Generalised Additive Models
All the material is supplemented with its implementation in the R programming language.
1. Review of Linear Regression
2. Regularised Regression
3. Generalised Linear Models
4. Quasi-Likelihood Models
5. Regression for Counts
6. Mixed Effects Models
7. Generalised Additive Models
All the material is supplemented with its implementation in the R programming language.
About this Module
Student Effort Hours:
Student Effort Type | Hours |
---|---|
Not yet recorded. |
Requirements, Exclusions and Recommendations
Not applicable to this module.
Module Requisites and Incompatibles
Not applicable to this module.
Assessment Strategy
Description | Timing | Component Scale | % of Final Grade | ||
---|---|---|---|---|---|
Not yet recorded. |
Carry forward of passed components
Not yet recorded
Not yet recorded
Terminal Exam |
---|
Not yet recorded |
Not yet recorded