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School of Computing, Analytics, and Modeling Dr. Perry College of Mathematics, Computing, and Sciences

Description

A continuation of MATH 4203, this course introduces certain discrete and continuous distributions such as the Poisson, Gamma, T and F. The course also provides an introduction to multivariate distributions. Estimation techniques such as the method of moments and maximum likelihood are discussed along with properties such as unbiasedness, efficiency, sufficiency and consistency of estimators.

Requisites

Prerequisites: MATH 4203 Minimum Grade: C

Course Hours

Lecture Hours: 3.00 Lab Hours: 0Total Hours: 3.00

MATH-4213 Mathematical Statistics

Description

Requisites

Course Hours