S631: Applied Linear Models I
Basic linear model theories. Simple linear regression and multiple linear regression: least square estimation, inference, ANOVA, Model selection and multicollinearity.
Year(s) Offered: _2018
Class time: Tuesday, Thursday : 9:30A - 10:45A
Instructor: Arturo Valdivia - firstname.lastname@example.org
Sequence: Stat 632: Applied Linear Models II
Prerequisites: Requires permission of instructor
Algebra Required?: For proofs and homework.
Calculus Required?: For derivations and homework.
Recommended follow-up classes: Most other graduate level statistics courses.
Substantive Orientation: Most units on campus including Statistics, Social Sciences, Biological Sciences, Informatics, Education.
Applied/Theoretical: In the middle of theoretical/applied.
Formal Computing Lab?: No
Software Used: R
How the software is used: computation, programming and data analysis
Problem Sets: Yes, proofs and derivations
Data Analysis: Yes