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Statistical Modelling in Finance and Insurance - ACST602

This unit covers linear statistical modelling in insurance and finance. Topics include: simple and multiple linear regression; ANOVA models; analysis of residuals, regression diagnostics and influential observations; theory of estimation; method of moments and maximum likelihood; properties of estimators; sampling distributions and properties of sample statistics; the t, F and X2 distributions; confidence intervals and hypothesis testing in a regression context; type I and II errors; power; chi squared tests; criteria for choosing models; goodness of fit tests, tests of association and homogeneity; and applications of linear modelling to problems in insurance and finance.

Credit Points: 4
When Offered:

TBD - Not offered in the current year; next offering is to be determined

Staff Contact(s): Actuarial staff
Prerequisites:

ACST601 and ACST604 Prerequisite Information

Corequisites:

NCCW(s):
Unit Designation(s):

Commerce

Assessed As: Graded
Offered By:

Department of Applied Finance and Actuarial Studies

Faculty of Business and Economics

Course structures, including unit offerings, are subject to change.
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