| Call Number | 15989 |
|---|---|
| Day & Time Location |
W 1:00pm-3:50pm To be announced |
| Points | 3 |
| Grading Mode | Standard |
| Approvals Required | None |
| Instructor | Bin Cheng |
| Type | LECTURE |
| Method of Instruction | In-Person |
| Course Description | This course provides a general introduction to mathematical statistics and statistical decision theory for doctoral students in biostatistics. It covers elementary decision theory, Bayes rules, Neyman-Pearson theory, uniformly most power tests, similar tests, uniformly most powerful unbiased tests, confidence sets; basic asymptotic criteria, estimation methods and their asymptotic properties, M-estimators, U-statistics, statistical functionals; likelihood ratio tests, Wald tests, Rao's score tests, and their asymptotic properties, Pitman efficiency. This course will prepare students to their theory qualifying exam. |
| Web Site | Vergil |
| Department | Biostatistics |
| Enrollment | 6 students (10 max) as of 7:06PM Thursday, January 2, 2025 |
| Subject | Biostatistics |
| Number | P9110 |
| Section | 001 |
| Division | School of Public Health |
| Open To | GSAS, Public Health |
| Note | Permissions: Biostatistics doctoral students only |
| Section key | 20251BIST9110P001 |