Spring 2016

Theoretical Statistics

Listed in: Mathematics and Statistics, as MATH-370  |  Mathematics and Statistics, as STAT-370

Formerly listed as: MATH-30

Moodle site: Course

Faculty

Nicholas J. Horton (Section 01)

Description

(Offered as STAT 370 and MATH 370.) This course examines the theory behind common statistical inference procedures including estimation and hypothesis testing. Beginning with exposure to Bayesian inference, the course will cover Maximum Likelihood Estimators, sufficient statistics, sampling distributions, joint distributions, confidence intervals, hypothesis testing and test selection, non-parametric procedures, and linear models. Four class hours per week.

Requisite: STAT 111 or STAT 135 and STAT 360, or consent of the instructor. Spring semester.  Professor Horton.

Keywords

Quantitative Reasoning

Offerings

2017-18: Offered in Spring 2018
Other years: Offered in Spring 2009, Spring 2013, Spring 2015, Spring 2016, Spring 2017