STSCI 6730
Last Updated
- Schedule of Classes - January 13, 2025 7:35PM EST
- Course Catalog - January 13, 2025 7:07PM EST
Classes
STSCI 6730
Course Description
Course information provided by the Courses of Study 2024-2025.
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: MATH 6730
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Credits and Grading Basis
3 Credits Opt NoAud(Letter or S/U grades (no audit))
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Class Number & Section Details
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Meeting Pattern
- MW
- Jan 21 - May 6, 2025
Instructors
Bunea, F
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Additional Information
Instruction Mode: In Person
For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/
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