Regression Modeling In Insurance

Catalog description

Introduces advanced applications of regression modeling methods for solving actuarial problems. The generalized linear models are important and frequently used modeling approaches in the insurance industry for traditional actuarial pricing and reserving problems and marketing and operational problems. Prepares students to understand these problems and gain experience in analyzing them through projects involving real-world data. Covered topics include linear models, categorical dependent variables, count dependent variables, generalized linear models, frequency and severity models and others.