STAT-6514: Advanced Topics in Regression
Description: Advanced notions in modern regression techniques and diagnostics. The underlying theory and concepts associated with estimation methods for handling collinearity. Theory behind modern criteria for selection of candidate models. The development of single and multiple outlier and influence diagnostics. Odd years.
Pathways: N/A
Course Hours: 3 credits
Corequisites: N/A
Crosslist: N/A
Repeatability: N/A
Sections Taught: 9
Average GPA: 3.88 (A)
Strict A Rate (No A-) : 88.78%
Average Withdrawal Rate: 0.00%
| Inyoung Kim | 2021 | 95.5% | 0.0% | 0.0% | 0.0% | 4.5% | 0.0% | 3.79 | 5 |
| Jeffrey B Birch | 2010 | 100.0% | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | 4.00 | 3 |
| Hongxiao Zhu | 2022 | 100.0% | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | 3.95 | 1 |