Distributions useful for modelling insurance loss random variables. Approximations for and estimation of these loss distributions. Point and interval estimation, and tests of statistical hypotheses. Introduction to credibility theory, experience rating and claims reserving. Bayesian inferential techniques. Stochastic simulation and computational techniques.
This course may not be repeated for credit.
Notes
- Statistics 437 is strongly recommended as preparation for this course.
Prerequisite(s)
- Actuarial Science 327; and Mathematics 323 or Statistics 323.
SyllabusSections