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Mar 28, 2024
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STAT 736 - Linear Models II (3 units) This course covers advanced statistical methodologies and practical applications of linear models and their extensions emphasizing a broad range of ideas and techniques.
Prerequisite(s): STAT 467 or STAT 667 or STAT 726 ; STAT 735 .
Grading Basis: Graded Units of Lecture: 3 Offered: Every Spring
Student Learning Outcomes Upon completion of this course, students will be able to: 1. describe the theoretical concepts underlying each generalized linear model framework. 2. recognize different model assumptions and identify the valid model for the given problem. 3. apply appropriate models in data analysis, evaluate model fit and interpret the results. 4. evaluate the feasibility of more advanced methods and apply them in practice.
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