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Nov 21, 2024
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MATH 665 - Applied Regression Analysis and Design of Experiments
Credits: 3
Prerequisite: MATH 564 or permission of the instructor.
Corequisite: None
Restriction: None
Description: Analyzes data using general linear and mixed linear models. Examines in detail the simple linear regression, multiple linear regression, polynomial linear regression, ANOVA, randomized block design, nested design, split-plot design, and Latin square design models. Uses statistical software for data analysis. Develops model theory using results from linear algebra and mathematical statistics.
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