Math 542 Mathematical Statistics (Graduate)

The focus of this course is maximum likelihood estimation and inference. This powerful, widely applicable methodology underlies the classical methods taught in introductory statistics courses- one and two-sample z-tests and linear regression, for example – and many other, more modern methods.

Prerequisite:  Math 541/441 Probability Theory or equivalent, i.e., a semester-long upper-level introductory probability course, and familiarity with partial differentiation.

Related Offerings:
MATH 511 Numbers Theory – Theory of Numbers (Winter/Spring 2022)
MATH 512 Abstract Algebra (Summer 2022 & Summer 2023)
MATH 541 Theory of Probability (Fall 2022)
MATH 542 Mathematical Statistics (Winter/Spring 2023)

Indiana State University

Instructor: Mark Inlow

Credit Hours: 3

Date: 1/10/23 – 5/5/23

Location: Online Asynchronous

Teacher Level: Grades 9-12

Graduate Certificate Available: No

Master’s Completion Option: Yes