MATH 8381 Mathematical Statistics

This course includes sampling distributions, sufficient statistics, theory of estimation, point estimation, minimum variance estimation, Rao-Cramer inequality, maximum likelihood estimation, interval estimation, Bayes estimators, credible intervals, Neyman-Pearson theory of hypothesis testing, most powerful tests, likelihood ratio tests, chi-square tests, Bayesian hypothesis testing, simple and multiple regression analysis.

Credits

3

Prerequisite

MATH 6365 or consent of instructor

Schedule Type

Lecture

Grading Basis

Standard Letter (A-F)

Offered

As scheduled