MATH 0311

Statistical Inference

Statistical Inference
An introduction to the mathematical methods and applications of statistical inference using both classical methods and modern resampling techniques. Topics will include: permutation tests, parametric and nonparametric problems, estimation, efficiency and the Neyman-Pearsons lemma. Classical tests within the normal theory such as F-test, t-test, and chi-square test will also be considered. Methods of linear least squares are used for the study of analysis of variance and regression. There will be some emphasis on applications to other disciplines. This course is taught using R. (MATH 0310) 3 hrs. lect./disc.
Natural Sciences
Requirements Fulfilled:
Equivalent Courses:
STAT 0311 *


Spring 2024

MATH0311A-S24 Lecture (Tang)

Spring 2023

MATH0311A-S23 Lecture (Tang)

Spring 2022

MATH0311A-S22 Lecture (Lyford)

Spring 2021

MATH0311A-S21 Lecture (Lyford)

Spring 2020

MATH0311A-S20 Lecture (Lyford)

Spring 2018

MATH0311A-S18 Lecture (Lyford)

Spring 2016

MATH0311A-S16 Lecture (Kim)

Fall 2013

MATH0311A-F13 Lecture (Emerson)

Spring 2012

MATH0311A-S12 Lecture (Emerson)

Spring 2010

MATH0311A-S10 Lecture (Emerson)

Spring 2008

MATH0311A-S08 Lecture (Emerson)

Spring 2007

MATH0311A-S07 Lecture

Spring 2006

MATH0311A-S06 Lecture (Emerson)

Spring 2004

MATH0311A-S04 Lecture (Emerson)