MATH 330 - Mathematical Statistics

Institution:

University of Richmond

Subject:

Description:

Introduction to basic principles and procedures for statistical estimation and model fitting. Parameter estimation, likelihood methods, unbiasedness, sufficiency, confidence regions, Bayesian inference, significance testing, likelihood ratio tests, linear models, methods for categorical data, resampling methods. Prerequisite(s): Mathematics 329. Unit(s): 1

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.richmond.edu

Phone Number:

(804) 289-8000

Regional Accreditation:

Southern Association of Colleges and Schools

Calendar System:

Semester

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