2009 Course Handbook
STAT378: Statistical Computing
This unit develops basic computer-intensive statistical methods. Topics include: regression influence diagnostics and collinearity diagnostics based on singular value decomposition; selecting the best regression model; alternatives to least squares: ridge regression, principal component regression and M-estimators; model validation by split sample and predictive R criteria; iterative procedures and non-linear regression.
| Credit Points: | 3 |
| Contact Hours: | 4 |
| When Offered: | E1 - Evening; Offered in the first half-year |
| Staff Contact: | Dr Ma |
| Prerequisites: | STAT273(P) or STAT272(P) or STAT278(P) |
| Corequisites: | |
| NCCWs: | |
| Unit Designations: |
Social Science
Commerce; Economics Technology Science |
| Assessed As: | Graded |
| Offered By: |
Department of Statistics |
Timetable Information
For unit timetable information please visit the Timetables@Macquarie Website.