University of Illinois Urbana-Champaign 4 credits Actuarial Science & Risk Management
Introduction to statistics for risk modeling, starting with simple linear regression, extending to multiple linear regression and diagnostic testing of model adequacy and assumptions. Students learn how to identify, test, and correct for influential points, heteroscedasticity and multicollinearity. The course also covers time series from white noise and random walks to ARIMA models, and how time series models are used for forecasting in financial applications. 4 undergraduate hours. 4 graduate hours. Credit is not given towards graduation for both ASRM 441 and STAT 420/ASRM 450. Prerequisite: ASRM 401 or STAT 400.
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