Princpls Statistical Inference
Durham
Engineering&Physical Sciences :: Mathematics&Statistics
Online Course Delivery Method: Scheduled meeting time, Online (no campus visits), EUNH
Credits: 4.0
Term: Spring 2021 - Full Term (02/01/2021 - 05/11/2021)
Grade Mode: Letter Grading
Term: Spring 2021 - Full Term (02/01/2021 - 05/11/2021)
Grade Mode: Letter Grading
Class Size:
25
CRN: 50648
CRN: 50648
Introduces the basic principles and methods of statistical estimation and model fitting. One- and two-sample procedures, consistency and efficiency, likelihood methods, confidence regions, significance testing, Bayesian inference, nonparametric and re-sampling methods, decision theory. Prereq: MATH 755; or permission.
Section Comments: This course is a synchronous online course. In-class exams may be scheduled; for remote access of these, contact the instructor.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Classes not allowed in section: Freshman
Instructors: Linyuan Li
Times & Locations
| Start Date | End Date | Days | Time | Location |
|---|---|---|---|---|
| 2/1/2021 | 5/11/2021 | MWF | 11:10am - 12:30pm | ONLINE |