STSCI 6730

STSCI 6730

Course information provided by the 2024-2025 Catalog. Courses of Study 2024-2025 is scheduled to publish mid-June.

This course will focus on the finite sample theory of statistical inference, emphasizing estimation, hypothesis testing, and confidence intervals.  Specific topics include: uniformly minimum variance unbiased estimators, minimum risk equivariant estimators, Bayes estimators, minimax estimators, the Neyman-Pearson theory of hypothesis testing, and the construction of optimal invariant tests.


Prerequisites/Corequisites Prerequisite: STSCI 4090/BTRY 4090, MATH 6710 or permission of instructor.

Last 4 Terms Offered 2025SP, 2024SP, 2023SP, 2022SP

When Offered Spring.

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Combined with: MATH 6730

  • 3 Credits Opt NoAud

  •  7320 STSCI 6730   LEC 001

    • MW
    • Jan 21 - May 6, 2025
    • Bunea, F

  • Instruction Mode: In Person

    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/