Course Number
625.661
Next Offered
Spring 2022
Primary Program
Applied and Computational Mathematics
Location
Online
Mode of Study
Online

Introduction to regression and linear models including least squares estimation, maximum likelihood estimation, the Gauss-Markov Theorem, and the Fundamental Theorem of Least Squares. Topics include estimation, hypothesis testing, simultaneous inference, model diagnostics, transformations, multicollinearity, influence, model building, and variable selection. Advanced topics include nonlinear regression, robust regression, and generalized linear models including logistic and Poisson regression.

Course Prerequisite(s)

EN.625.603 Statistical Methods and Data Analysis, multivariate calculus, and basic knowledge of matrix and linear algebra.

Course Offering(s)

Waitlist Only

625.661.81
01/24/2022 - 05/10/2022
Semester
Spring 2022
Mode of Study
Online
Location
Online
Cost
$4,755
Textbook
TBD
Waitlist Only

625.661.82
01/24/2022 - 05/10/2022
Semester
Spring 2022
Mode of Study
Online
Location
Online
Cost
$4,755
Textbook
TBD
Waitlist Only

625.661.83
01/24/2022 - 05/10/2022
Semester
Spring 2022
Mode of Study
Online
Location
Online
Cost
$4,755
Textbook
TBD