STATS 500 - Applied Statistics I
Section: 001
Term: FA 2007
Subject: Statistics (STATS)
Department: LSA Statistics
Requirements & Distribution:
Advisory Prerequisites:
MATH 417, and STATS 350 or 426.
Other Course Info:
This course counts toward the 60 credits of math/science required for a Bachelor of Science degree.
May not be repeated for credit.
Primary Instructor:

Course outline:

Linear Regression Models: definition, fitting, Gauss-Markov theorem, inference, interpretation of results, meaning of regression coefficients, identifiability, diagnostics, influential observations, multicollinearity, lack of fit, robust procedures, transformations, regression splines, variable selection, ridge regression, principal components regression, ANOVA and analysis of covariance. The objective is to learn what methods are available and more importantly, when they should be applied.

Computing: The software we will be using for this course is R. R is free with Windows and Unix. Check out the course webpage for details.

Julian Faraway (2004) Linear Models with R. Chapman & Hall.

Knowledge of matrix algebra. Knowledge of basic probability and mathematical statistics.

There will be weekly homeworks, one midterm, and the final. The weights are 30% for the homework, 30% for the midterm and 40% for the final. No late homework will be accepted. No make-up exam.

STATS 500 - Applied Statistics I
Schedule Listing
001 (LEC)
24STATS Grad
MW 1:00PM - 2:30PM
Note: To be added to the waitlist, contact
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