STT 867 (Course) - Grade Details
(with breakdown by instructor)
Course Title: Linear Model Methodology
Course Description: Properties of the multivariate normal distribution, Cochran's Theorem, simple and multiple linear regression models, Gauss-Markov Theorem, best linear unbiased prediction, one- and two-way ANOVA models, sums of squares, diagnostics and model selection, contingency tables and multinomial models, generalized linear models, logistic regression.
STT 867 - All Instructors
Average Grade - 3.711
Median Grade - 4.0
Latest grades from Fall 2024
STT 867 - Overview
| Instructor | Grade Info | Number of Students | Latest Grade Data | Breakdown |
|---|---|---|---|---|
| Tapabrata Maiti | Average Grade - 3.705 Median Grade - 4.0 |
22 | Fall 2022 | |
| Pingshou Zhong | Average Grade - 3.586 Median Grade - 3.5 |
29 | Fall 2016 | |
| Haolei Weng | Average Grade - 3.760 Median Grade - 4.0 |
77 | Fall 2024 |
Haolei Weng
Average Grade - 3.760
Median Grade - 4.0
Latest grades from Fall 2024
See detailed grade info for this instructor
Pingshou Zhong
Average Grade - 3.586
Median Grade - 3.5
Latest grades from Fall 2016
See detailed grade info for this instructor
Tapabrata Maiti
Average Grade - 3.705
Median Grade - 4.0
Latest grades from Fall 2022
See detailed grade info for this instructor