Theoretical Statistics

Spring 2022

Theoretical Statistics

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

Formerly listed as: MATH-30

Moodle site: Course (Login required)

Faculty

Kevin Donges (Section 01)

Description

(Offered as STAT 370 and MATH 370) This course examines the theory underlying common statistical procedures including visualization, exploratory analysis, estimation, hypothesis testing, modeling, and Bayesian inference. Topics include maximum likelihood estimators, sufficient statistics, confidence intervals, hypothesis testing and test selection, non-parametric procedures, and linear models.

Requisite: STAT 111 or STAT 135 and STAT 360, or consent of the instructor. Limited to 25 students. Spring semester. Professor Donges.

Expectations

Students who enroll in this course will likely encounter and be expected to engage in the following intellectual skills, modes of learning, and assessment: quantitative work, problem sets, quizzes or exams, group work, use of computational software Students with documented disabilities who will require accommodations in this course should be in consultation with Accessibility Services and reach out to the faculty member as soon as possible to ensure that accommodations can be made in a timely manner.

If Overenrolled: Priority for Statistics majors, then Mathematics majors.

Offerings

2022-23: Not offered
Other years: Offered in Spring 2009, Spring 2013, Spring 2015, Spring 2016, Spring 2017, Spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022