STT 868 (Course) - Grade Details
(with breakdown by instructor)
Course Title: Mixed Models: Theory, Methods and Applications
Course Description: Maximum likelihood estimation and other estimation methods for linear mixed models. Statistical properties of LME models. Prediction under LME models. Generalized linear mixed models. Quasi-likelihood estimation, generalized estimating equations for GLMM. Nonlinear mixed models. Diagnostics and influence analysis. Bayesian development in mixed linear models. Application of mixed models.
STT 868 - All Instructors
Average Grade - 3.763
Median Grade - 4.0
Latest grades from Spring 2025
STT 868 - Overview
Instructor | Grade Info | Number of Students | Latest Grade Data | Breakdown |
---|---|---|---|---|
Chae Y Lim | Average Grade - 3.731 Median Grade - 4.0 |
26 | Spring 2015 | |
Haolei Weng | Average Grade - 3.750 Median Grade - 4.0 |
79 | Spring 2025 | |
Hyokyoung Hong | Average Grade - 3.917 Median Grade - 4.0 |
12 | Spring 2017 |
Chae Y Lim
Average Grade - 3.731
Median Grade - 4.0
Latest grades from Spring 2015
See detailed grade info for this instructor
Haolei Weng
Average Grade - 3.750
Median Grade - 4.0
Latest grades from Spring 2025
See detailed grade info for this instructor
Hyokyoung Hong
Average Grade - 3.917
Median Grade - 4.0
Latest grades from Spring 2017
See detailed grade info for this instructor