MFIM 601 Probability & Statistics
This graduate-level treatment of the theory of probability and mathematical statistics includes probability spaces and finite counting techniques, random variables and distribution functions, density, mass functions, and expectation. The course also examines the standard random variables, multivariate distributions, functions and sums of random variables, limit theorems (weak and strong law of large numbers and the central limit theorem), theory of estimators, maximum likelihood techniques, theory of estimation, hypothesis testing theory, decision analysis, and Bayesian methods.