Description: Mathematical tools for short-term insurance, including construction and selection of parametric models and credibility procedures. Course will be offered on even numbered years (Winter).
Prerequisites: Prerequisite: MATH 417A with a grade of C or higher.
Credits: (4)
Learner Outcomes: After successful completion of this course, students will be able to:
Estimate parameters for severity, frequency, and aggregate distributions using Maximum Likelihood Estimation.
Estimate parameters for severity, frequency, and aggregate distributions using Bayesian Estimation
Choose an appropriate model, using both hypothesis tests and score-based approaches.
Estimate losses using classical and Bayesian credibility.
Design an appropriate actuarial model for a given situation or application.
Assess the appropriateness of an actuarial model for a given application.