- Autumn 2014
Meeting Time:
TTh 1:30pm - 2:50pm
Location:
JHN 075
SLN:
13493
Instructor:
Caren Marzban
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