STSCI 6730

STSCI 6730

Course information provided by the Courses of Study 2024-2025.

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.

When Offered Spring.

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

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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/