MATH 6730

Last Updated

  • Schedule of Classes - June 25, 2020 7:14PM EDT
  • Course Catalog - June 25, 2020 7:15PM EDT

MATH 6730
Mathematical Statistics I

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.

View Enrollment Information

Syllabi: none

  •   Regular Academic Session.  Combined with: STSCI 6730

  • 4 Credits Stdnt Opt

  • 18017 MATH 6730   LEC 001

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  • Instruction Mode: Hybrid - Online & 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.