MATH 6730

MATH 6730

Course information provided by the Courses of Study 2014-2015.

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 Fall.

Prerequisites/Corequisites Prerequisite: Undergraduate real analysis and probability (MATH 3110, MATH 4710).

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Enrollment Information
Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: STSCI 6730

  • 4 Credits Stdnt Opt

  • 17263MATH 6730  LEC 001

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

  • 17264MATH 6730  DIS 201

    • W
    • Bunea, F

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  • Instruction Mode: