STSCI 6730

STSCI 6730

Course information provided by the Courses of Study 2019-2020.

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

  • 4 Credits Stdnt Opt

  • 18016STSCI 6730  LEC 001

  • 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.