Mar 22, 2019  
2018-19 Catalog 
2018-19 Catalog

MATH 5500 - Regression I

This is an applied linear regression course that will initially focus on strengthening the student’s undergraduate background in statistics.  Topics for this section will include: sampling distributions, point estimates, confidence intervals, hypothesis testing, ANOVA, and sample size calculations.  The second part of the course will introduce maximum likelihood estimation and topics in linear and non-linear regression.  The course will blend hands-on data analysis and a theoretical framework.

Credits: 3

Prereq: Undergraduate Statistics. Acceptance into the Masters in Mathematical Sciences program and/or instructor permission.
Lecture hours: 3
Course/lab fee: $