MATH 453 - Mathematical Statistics
Description
Hours: Three hours lecture per week Prerequisite: MATH 201 or MATH 202 or PSY 202 or MATH 300 or MATH 352 Description: Sampling distributions, estimation, bias, confidence intervals, efficiency, consistency, sufficiency, Cramer-Rao bound, maximum likelihood, hypothesis testing, Neyman-Pearson Lemma, linear models, regression, experiment design, ANOVA, analysis of categorical data, nonparametric methods, and Bayesian estimation. Application of statistical theory in the laboratory using modern computer software.
Meeting Information
Days | Times | Room | Meeting Dates | Instructor |
---|---|---|---|---|
TTH | 9:00 AM - 10:15 AM | Bell Tower 1642 | 8/19/2023 - 12/9/2023 | Alona Kryshchenko |
Status: Open
Class Number: 1479
Session: Regular Academic Session
Units: 3.00
Class Components: Lecture
Career: Undergraduate
Dates: 8/19/2023 - 12/9/2023
Grading: Letter Grade
Class Availability
Information below is 24 hours old.
Enrollment Total: 11
Available Seats: 14
Wait List Capacity: 12
Wait List Total: 0
Enrollment Information
- Upper Division
- Includes any In Person Meeting