STATISTICAL METHODS FOR DATA SCIENCE 2 (R)
- Module code: DS865
- Credits: 5
- Semester: 1
- Department: MATHEMATICS AND STATISTICS
This course is a continuation of DS663. Topics are: Parameter estimation; method of moments maximum likelihood and least squares. Simple linear and multiple regression. Analysis of Variance, R2, sequential sums of squares, general F-tests. Case studies in R. Model checking via residual plots. Regression diagnostics: residuals, leverage, outliers, influence and Cook's Distance.
On successful completion of the module, students should be able to:
|Teaching & Learning methods|
This timetable is not currently available, please contact the Mathematics And Statistics Department.