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5.0
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5.0
Difficulty
1,000
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99%
Would take again
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Search Results
| Name | Grades | Rating | |||
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Not teaching in Spring 2026 | |||||
STAT 7339 Jiayi Wang | |||||
A- | |||||
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| Name | Grades | Rating | |||
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Not teaching in Spring 2026 | |||||
STAT 7339 Jiayi Wang | |||||
A- | |||||
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Grades: 310
Median GPA: B+
Mean GPA: 3.168
4.5
Professor rating
3
Difficulty
2
Ratings given
100%
Would take again
Advanced Regression Modeling
STAT 7339
School of Natural Sciences and Mathematics
Linear and generalized linear mixed models with application to longitudinal data analysis; smoothing via basis expansion and penalization; spline smoothing; semiparametric regression; additive and generalized additive models and their mixed model extensions; and implementation of methods using a software package. 3 credit hours.
Prerequisite: STAT 6337 or instructor consent required.
Offering Frequency: Every two years
Grades: 28
Median GPA: A-
Mean GPA: 3.512
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Grades: 310
Median GPA: B+
Mean GPA: 3.168
4.5
Professor rating
3
Difficulty
2
Ratings given
100%
Would take again
Advanced Regression Modeling
STAT 7339
School of Natural Sciences and Mathematics
Linear and generalized linear mixed models with application to longitudinal data analysis; smoothing via basis expansion and penalization; spline smoothing; semiparametric regression; additive and generalized additive models and their mixed model extensions; and implementation of methods using a software package. 3 credit hours.
Prerequisite: STAT 6337 or instructor consent required.
Offering Frequency: Every two years
Grades: 28
Median GPA: A-
Mean GPA: 3.512
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