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.

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


Fall 2024 Semester
Course Title Instructor Campus Section Syllabus
Mathematical Statistics Scott Gordon, Ph.D. Carrollton 01 external Syllabus via Concourse External Resource