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/ECON 311; either MATH 136 or MATH 126 with either MATH 308 or MATH 309. (Credit allowed for only one of STAT 390, STAT 481, and ECON 580.) Offered: jointly with CS&SS 509/ECON 580.

Syllabus Downloads

Current Time Schedule

Autumn, 2022

SLN/Section Time Location Instructor
21823 A
Open

T Th 2:30PM - 4:20PM

SAV 264

Thomas S Richardson

 

 

21824 AA
Open

F 12:30PM - 1:20PM

SAV 131

ANUPREET PORWAL

 

 

21825 AB
Open

F 1:30PM - 2:20PM

SAV 131

ANUPREET PORWAL