MATH 6730

Last Updated

  • Schedule of Classes - June 15, 2016 6:14PM EDT
  • Course Catalog - June 9, 2016 6:15PM EDT

MATH 6730
Mathematical Statistics I

Course information provided by the 2015-2016 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/Corequisites Prerequisite: Undergraduate real analysis and probability (MATH 3110, MATH 4710).

When Offered Spring.

View Enrollment Information

Syllabi: none

  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: STSCI 6730

  • 4 Credits Stdnt Opt

  • 17963 MATH 6730   LEC 001

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  • Instruction Mode: In Person

    Prerequisites: Undergraduate real analysis and probability (MATH 3110, MATH 4710). The Audit option requires permission of the Instructor.

  • 17964 MATH 6730   DIS 201

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    • W

    • Bunea, F

  • Instruction Mode: In Person