STSCI 6730

Last Updated

  • Schedule of Classes - October 16, 2017 11:09AM EDT
  • Course Catalog - June 14, 2017 7:15PM EDT

STSCI 6730
Mathematical Statistics I

Course information provided by the 2016-2017 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: STSCI 4090/BTRY 4090, MATH 6710 or permission of instructor.

When Offered Fall.

View Enrollment Information

Syllabi: none

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

  • 4 Credits Stdnt Opt

  • 13009 STSCI 6730   LEC 001

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  • Instruction Mode: 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.

  • 13010 STSCI 6730   DIS 201

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    • W

    • Bunea, F

  • Instruction Mode: In Person