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STT 868 (Course) - Grade Details
(with breakdown by semester)
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 Semesters
Average Grade - 3.753
Median Grade - 4.0
Latest grades from Spring 2024
STT 868 - Overview
| Semester | Grade Info | Number of Students | |
|---|---|---|---|
| Spring 2014 | Average Grade - 3.833 Median Grade - 4.0 |
12 | |
| Spring 2015 | Average Grade - 3.643 Median Grade - 4.0 |
14 | |
| Spring 2017 | Average Grade - 3.917 Median Grade - 4.0 |
12 | |
| Spring 2020 | Average Grade - 3.867 Median Grade - 4.0 |
15 | |
| Spring 2021 | Average Grade - 3.667 Median Grade - 4.0 |
16 | |
| Spring 2022 | Average Grade - 3.636 Median Grade - 4.0 |
11 | |
| Spring 2024 | Average Grade - 3.714 Median Grade - 4.0 |
14 | |