MATH 530 - Probability and Statistical Inference (6)

Fundamentals of probability theory, including random variables, joint and conditional distributions, expected values, major probability limit theorems, and some well-known distributions. Maximum likelihood, method of moments, sufficiency, Bayesian estimation, properties of estimators, confidence and credible intervals, and hypothesis testing.

Prerequisite: MATH 335.

Graduate-level

One or more sections may be offered in any online format.