Macquarie University 2007 Handbook: STAT378

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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:	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

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