STSCI 6730

STSCI 6730

Course information provided by the Courses of Study 2020-2021.

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

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

  • 4 Credits Stdnt Opt

  • 11855 STSCI 6730   LEC 001

    • T Online Meeting
    • Feb 8 - May 14, 2021
    • Bunea, F

  • Instruction Mode: Online
    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.