MATH 6730
Last Updated
- Schedule of Classes - June 10, 2022 7:44AM EDT
- Course Catalog - June 9, 2022 7:14PM EDT
Classes
MATH 6730
Course Description
Course information provided by the Courses of Study 2021-2022.
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.
Regular Academic Session. Combined with: STSCI 6730
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Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
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Class Number & Section Details
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Meeting Pattern
- MW Thurston Hall 203
- Jan 24 - May 10, 2022
Instructors
Kato, K
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Additional Information
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.
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