Distributions useful for modeling insurance loss random variables. Approximations for and estimations of these loss distributions. Point and interval estimation, and test of statistical hypotheses.

Introduction to credibility theory, experience rating and claim reserving. Bayesian inferential techniques. Stochastic simulation and computational techniques.