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Aug 12, 2024
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STAT 713 - Applied Linear Statistical Models Credits: 3
Matrix-based, applied linear regression procedures at a mathematical level appropriate for a first-year graduate statistics major. Topics include basic methodological development for simple and multiple linear regression, model building and diagnostics, analysis of variance/covariance and multiple comparison methods. Other topics from ANOVA modeling may also be covered if time permits.
Note:
A student may not receive graduate credit for both STAT 705 and STAT 713.
Repeat for Credit
N
Requisites:
Prerequisite: Math 515/551 or an equivalent course and one prior course in statistics.
Typically Offered
Fall
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