- Autumn 2014
Meeting Time:
F 12:30pm - 1:20pm
Location:
DEM 126
SLN:
13494
Instructor:
Bowen Wang
Catalog 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/STAT 509.
GE Requirements:
Other Requirements Met:
Status:
Active
Last updated:
April 28, 2016 - 2:24pm