Math 494 - Mathematical Statistics

Institution:

Washington University in St Louis

Subject:

Description:

Theory of estimation, minimum variance and unbiased estimators, maximum likelihood theory, Bayesian estimation, prior and posterior distributions, confidence intervals for general estimators, standard estimators and distributions such as the student-t and F-distribution from a more advanced viewpoint, hypothesis testing, the Neymann-Pearson Lemma (about best possible tests), linear models, and other topics as time permits. Prerequisite: Math 493 or permission of the instructor.

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.wustl.edu

Phone Number:

(314) 935-5000

Regional Accreditation:

North Central Association of Colleges and Schools

Calendar System:

Semester

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