MATH 6730

MATH 6730

Course information provided by the 2025-2026 Catalog.

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 STSCI 4090/BTRY 4090, MATH 6710 or permission of instructor.

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

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

  • 3 Credits Opt NoAud

  •  3820 MATH 6730   LEC 001

    • MW
    • Jan 20 - May 5, 2026
    • Bunea, F

  • Instruction Mode: In Person

    Prerequisite: STSCI 4090/BTRY 4090, MATH 6710, or permission of instructor. The audit option requires permission of the instructor.