Introduces mathematical statistics, emphasizing theory of point estimations. Topics include parametric estimations, minimum variance unbiased estimators, sufficiency and completeness, and Rao-Blackwell theorem; asymptotic (large sample) theory, maximum likelihood estimator (MLE), consistency of MLE, asymptotic theory of MLE, and Cramer-Rao bound; and hypothesis testing, Neyman-Pearson fundamental lemma, and likelihood ratio test.
Offering history
Term
Sections
Enrolled
Capacity
Full
Open seats/section
Spring 2024
1
6
25
24%
19.0
Spring 2026
1
22
25
88%
3.0
Snapshots from scheduled scrapes — not live seat availability. "Full" can exceed 100% when sections over-enroll.
Meeting times
Share of recent sections by weekday: M 100% · T 0% · W 100% · Th 0% · F 0%
Common patterns: MW (100% of sections)
— in patterns, R means Thursday