STAT 509

Econometrics I: Introduction to Mathematical Statistics
4.0 credits

Course Description

Examines methods, tools, and theory of mathematical statistics. Covers probability densities, transformations, moment generating functions, conditional expectation. Bayesian analysis with conjugate priors, hypothesis tests, the Neyman-Pearson Lemma. Likelihood ratio tests, confidence intervals, maximum likelihood estimation, Central limit theorem, Slutsky Theorems, and the delta-method. Prerequisite: STAT 311; either MATH 126 or MATH 136; and either MATH 208 or MATH 209. Offered: jointly with CSSS 509/ECON 580.