Princpls Statistical Inference
Durham
Engineering&Physical Sciences :: Mathematics&Statistics
Online Course Delivery Method: Scheduled meeting time, Online (no campus visits), EUNH
Credits: 3.0
Term: Spring 2023 - Full Term (01/24/2023 - 05/08/2023)
Grade Mode: Letter Grading
Term: Spring 2023 - Full Term (01/24/2023 - 05/08/2023)
Grade Mode: Letter Grading
Class Size:
15
CRN: 50552
CRN: 50552
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.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Prerequisite(s): MATH 855 with minimum grade of B-
Instructors: Linyuan Li
Times & Locations
Start Date | End Date | Days | Time | Location |
---|---|---|---|---|
1/24/2023 | 5/8/2023 | MWF | 11:10am - 12:30pm | ONLINE |