Princpls Statistical Inference
Durham
Engineering&Physical Sciences::Mathematics&Statistics
Online Course Delivery Method:
Online Synchronous
Credits: 3.0
Class Size: 5
Term:
Spring 2024
-
Full Term (01/23/2024
-
05/06/2024)
CRN:
50527
Grade Mode:
Letter Grading
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:
Pei Geng
Times & Locations
| Start Date | End Date | Days | Time | Location |
|---|---|---|---|---|
| 1/23/2024 | 5/6/2024 | MWF | 11:10am - 12:30pm | ONLINE |
| 5/10/2024 | 5/10/2024 | F | 10:30am - 12:30pm | ONLINE |
