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Statistical Computing - STAT378

This unit develops basic computer-intensive statistical methods. Many of them find applications in scientific research and industry. Topics include: Monte-Carlo simulation; bootstrapping; regression computations which include collinearity diagnostic and models selection using cross-validation; alternatives to least squares; ridge regression, weighted least squares and logistic regression; maximum likelihood computations using iterative methods, such as Newton-Raphson and Fisher scoring; and applications of the maximum likelihood method.

Credit Points: 3
When Offered:

TBD - To be determined

Staff Contact(s): Dr Jun Ma
Prerequisites:

39cp including (STAT272(P) or STAT273(P) or STAT278(P)) Prerequisite Information
Corequisites:

NCCW(s):
Unit Designation(s):

Commerce

Science

Social Science

Technology
Unit Type:
Assessed As: Graded
Offered By:

Department of Statistics

Faculty of Science

Timetable Information

For unit timetable information and session dates for external offerings please visit the Timetables@Macquarie Website.