MATH 6730
Last Updated
- Schedule of Classes - January 14, 2015 6:16PM EST
- Course Catalog - January 14, 2015 6:21PM EST
Classes
MATH 6730
Course Description
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).
Regular Academic Session. Choose one lecture and one discussion. Combined with: STSCI 6730
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Credits and Grading Basis
4 Credits Stdnt Opt(Student Option)
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Class Number & Section Details
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Meeting Pattern
- TR Comstock Hall-Academic II 1187
Instructors
Bunea, F
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Additional Information
Instruction Mode:
Prerequisites: Undergraduate real analysis and probability (MATH 3110, MATH 4710). The Audit option requires permission of the Instructor.
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