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.

Syllabus Downloads

WIN 2021 Han
WIN 2023 Han

Current Time Schedule

Winter, 2023

SLN/Section	Time	Location	Instructor
20791 A Open	T Th 8:30AM - 9:50AM W 12:30PM - 1:20PM W 12:30PM - 1:20PM	THO 125 DEM 104 DEM 104	Zaid Harchaoui Medha Agarwal Ronak Mehta

20792 B Open	T Th 8:30AM - 9:50AM W 12:30PM - 1:20PM W 12:30PM - 1:20PM	THO 125 DEM 104 DEM 104	Zaid Harchaoui Medha Agarwal Ronak Mehta
OFFERED JOINTLY WITH STAT 513A/ GRADS ONLY, STAT MAJORS ONLY. QUIZZES W 12:30-1:20PM.

SLN/Section

Time

Location

Instructor

20791 A
Open

T Th 8:30AM - 9:50AM

W 12:30PM - 1:20PM

THO 125

DEM 104

Zaid Harchaoui

Medha Agarwal

Ronak Mehta

20792 B
Open