2010 Course Handbook
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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: | D1 - Day; Offered in the first half-year |
| Staff Contact(s): | Dr Ma |
| Prerequisites: | |
| Corequisites: | |
| NCCW(s): | |
| Unit Designation(s): | |
| Assessed As: | Graded |
| Offered By: | Department of Statistics |
Timetable Information
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