Statistical Theory II

Catalog description

Point and interval estimation, hypothesis testing, maximum likelihood and moment estimators, Bayes estimators, unbiased estimators, sufficiency and completeness, Fisher information, uniformly most powerful tests, likelihood ratio tests, asymptotic inference, introduction to Bayesian inference. Prerequisite(s): MATH 6120 >= C Lecture Hours: 3 Repeatability: May not be repeated for credit. Grade Mode: Normal, Audit Degree Restrictions: Bachelor of Science Schedule Type (Primary): Lecture Click here for the Schedule of Classes.