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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 - 3.753
Median Grade - 4.0
94 total students

Latest grades from Spring 2024

STT 868 - Overview

Instructor Grade Info Latest Grade Data
Chae Y Lim Average Grade - 3.731
Median Grade - 4.0
Spring 2015
Hyokyoung Hong Average Grade - 3.917
Median Grade - 4.0
Spring 2017
Haolei Weng Average Grade - 3.727
Median Grade - 4.0
Spring 2024

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Chae Y Lim

Average Grade - 3.731
Median Grade - 4.0
26 total students

Latest grades from Spring 2015

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Haolei Weng

Average Grade - 3.727
Median Grade - 4.0
56 total students

Latest grades from Spring 2024

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Hyokyoung Hong

Average Grade - 3.917
Median Grade - 4.0
12 total students

Latest grades from Spring 2017

See detailed grade info for this instructor


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