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 - 3.746
Median Grade - 4.0
Latest grades from Spring 2026
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 | View ↗ | |
| Guanyu Hu | Average Grade - 3.583 Median Grade - 4.0 |
12 | Spring 2026 | View ↗ | |
| Haolei Weng | Average Grade - 3.750 Median Grade - 4.0 |
79 | Spring 2025 | View ↗ | |
| Hyokyoung Hong | Average Grade - 3.917 Median Grade - 4.0 |
12 | Spring 2017 | View ↗ |
Chae Y Lim
Average Grade - 3.731
Median Grade - 4.0
Latest grades from Spring 2015
See detailed grade info for this instructor
Guanyu Hu
Average Grade - 3.583
Median Grade - 4.0
Latest grades from Spring 2026
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