STATS 500 - Statistical Learning I: Regression
Section: 003
Term: WN 2018
Subject: Statistics (STATS)
Department: LSA Statistics
Requirements & Distribution:
Waitlist Capacity:
Advisory Prerequisites:
Linear Algebra (at the level of MATH 214 or equivalent) AND Theoretical Statistics (at the level of STATS 426 or equivalent).
Other Course Info:
This course counts toward the 60 credits of math/science required for a Bachelor of Science degree.
May be repeated for a maximum of 6 credit(s).
Primary Instructor:

Linear models: definitions, fitting, identifiability, collinearity, Gauss-Markov theorem, variable selection, transformation, diagnostics, outliers and influential observations. ANOVA and ANCOVA. Common Designs. Applications and real data analysis are stressed, with students using the computer to perform statistical analyses.

STATS 500 - Statistical Learning I: Regression
Schedule Listing
003 (LEC)
MW 11:30AM - 1:00PM
NOTE: Data maintained by department in Wolverine Access. If no textbooks are listed below, check with the department.

ISBN: 9781439887332
Linear Models with R, Second Edition
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