| Call Number | 14651 |
|---|---|
| Day & Time Location |
MW 2:40pm-3:55pm To be announced |
| Points | 4 |
| Grading Mode | Standard |
| Approvals Required | None |
| Instructor | Sumit Mukherjee |
| Type | LECTURE |
| Method of Instruction | In-Person |
| Course Description | Prerequisites: students in a masters program must seek the director of the M.A. program in statistics' permission; students in an undergraduate program must seek the director of undergraduate studies in statistics' permission. A general introduction to mathematical statistics and statistical decision theory. Elementary decision theory, Bayes inference, Neyman-Pearson theory, hypothesis testing, most powerful unbiased tests, confidence sets. Estimation: methods, theory, and asymptotic properties. Likelihood ratio tests, multivariate distribution. Elements of general linear hypothesis, invariance, nonparametric methods, sequential analysis. |
| Web Site | Vergil |
| Department | Statistics |
| Enrollment | 0 students (25 max) as of 12:06PM Tuesday, April 21, 2026 |
| Subject | Statistics |
| Number | GR6201 |
| Section | 001 |
| Division | Graduate School of Arts and Sciences |
| Open To | GSAS |
| Note | STAT PhD students only, or by instructor permission. |
| Section key | 20263STAT6201G001 |