MATH 6730

MATH 6730

Course information provided by the Courses of Study 2022-2023.

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.

View Enrollment Information

  •   Regular Academic Session.  Combined with: STSCI 6730

  • 4 Credits Opt NoAud

  •  6188 MATH 6730   LEC 001

  • Instruction Mode: In Person
    Prerequisites: STSCI 4090/BTRY 4090 (Theory of Statistics), MATH 6710 (measure theoretic probability) or permission of instructor. The Audit option requires permission of the Instructor.