ISYE 4760 - Mathematical Statistics

A course in the theory of statistics which will provide students with a basic foundation for more specialized statistical methodology courses. Topics include sampling and sampling distributions; point estimation including method of moments, maximum likelihood estimation, uniform minimum variance estimation and properties of the associated estimators; confidence intervals; hypothesis testing including uniformly most powerful, likelihood ratio approaches, chi-square tests for goodness-of-fit and independence. The course will conclude with an introduction to linear statistical models.

Prerequisites/Corequisites: Prerequisite: MATP 4600 or equivalent calculus-based course.

When Offered: Spring term annually.

Cross Listed: Cross listed as MATP 4620. Students cannot obtain credit for both this course and MATP 4620.

Credit Hours: 4