Mathematical Statistics (Honors)

Catalog description

This course is a rigorous introduction to the mathematical theory of statistics. A good working knowledge of calculus and probability theory is required. Topics include maximum likelihood estimation, confidence intervals, hypothesis testing, Bayesian methods, and regression. A grade of C or better is required in order to advance to 36-401 , 36-402 or any 36-46x course. Not open to students who have received credit for 36-625. Prerequisites: 15-359 or 21-325 or 36-217 or 36-225 with a grade of A AND advisor approval. Students interested in the course should add themselves to the waitlist pending review. Prerequisites: 36-217 Min. grade A or 36-225 Min. grade A or 21-325 Min. grade A or 36-218 Min. grade A or 15-359 Min. grade A