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 |
|---|---|---|---|---|
| MW | 3:00 PM - 4:15 PM | Online | 8/22/2020 - 12/18/2020 | Alona Kryshchenko |
Status: Open
Class Number: 1504
Session: Regular Academic Session
Units: 3.00
Class Components: Lecture
Career: Undergraduate
Dates: 8/22/2020 - 12/18/2020
Grading: Letter Grade
Class Availability
Information below is 24 hours old.
Enrollment Total: 13
Available Seats: 7
Wait List Capacity: 10
Wait List Total: 0
Enrollment Information
- Upper Division