QMMS 651
Regression Analysis for the Education Sciences II
A follow-up course of Regression Analysis for the Education Sciences I, focusing on various theoretical extensions of multiple linear regression and their applications. Topics include the weighted least square and maximum likelihood estimation, nonlinear regression, nonparametric regression, generalized linear models for discrete data (e.g., logistic and Poisson regression), and bootstrapping.
Topics
- the weighted least square and maximum likelihood estimation
- nonlinear regression
- nonparametric regression
- generalized linear models for discrete data (e
Topics explicitly listed in official catalogue description
Prerequisites & course information
Prerequisite: QMMS646 or EDMS646; or students who have taken courses with comparable content may contact the department. Credit Only Granted for: EDMS651 or QMMS651 . Formerly: EDMS651.
Sources
- Course catalogue ↗2026-2027