STAT 513

Statistical Inference
4.0 credits

Course Description

Review of random variables; transformations, conditional expectation, moment generating functions, convergence, limit theorems, estimation; Cramer-Rao lower bound, maximum likelihood estimation, sufficiency, ancillarity, completeness. Rao-Blackwell theorem. Hypothesis testing: Neyman-Pearson lemma, monotone likelihood ratio, likelihood-ratio tests, large-sample theory. Contingency tables, confidence intervals, invariance. Decision theory. Prerequisite: STAT 512. Offered: W.

Course Website

Current Time Schedule

Winter, 2021

SLN/Section	Time	Location	Instructor
20461 A Open	M W F 10:30AM - 11:20AM W 12:30PM - 1:20PM W 12:30PM - 1:20PM	* * * * * *	Fang Han GANG CHENG Zhen Miao
OFFERED VIA REMOTE LEARNING
20462 B Open	M W F 10:30AM - 11:20AM W 12:30PM - 1:20PM W 12:30PM - 1:20PM	* * * * * *	Fang Han GANG CHENG Zhen Miao
OFFERED VIA REMOTE LEARNING

SLN/Section

Time

Location

Instructor

20461 A
Open

M W F 10:30AM - 11:20AM

W 12:30PM - 1:20PM

* *

Fang Han

GANG CHENG

Zhen Miao

OFFERED VIA REMOTE LEARNING

20462 B
Open