STATS 500 - Applied Statistics I
Section: 002
Term: FA 2009
Subject: Statistics (STATS)
Department: LSA Statistics
Credits:
3
Requirements & Distribution:
BS
Waitlist Capacity:
10
Advisory Prerequisites:
MATH 417, and STATS 350 or 426.
Other Course Info:
F.
BS:
This course counts toward the 60 credits of math/science required for a Bachelor of Science degree.
Repeatability:
May not be repeated for credit.
Primary Instructor:

Course outline:

Course Outline: Linear Regression Models: deØnition, Øtting, Gauss-Markov theorem, inference, interpretation of results, meaning of regression coe±cients, identiØablity, diagnostics, in°uential observations, multicollinearity, lack of Øt, 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.

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

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

Assessment:
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)
P
16349
Open
2
 
-
MW 4:00PM - 5:30PM
002 (LEC)
P
41539
Closed
0
15STATS Grad
6STATS Maj
-
MW 10:00AM - 11:30AM
NOTE: Data maintained by department in Wolverine Access. If no textbooks are listed below, check with the department.


ISBN: 9781584884255
Linear models with R, Author: Julian J. Faraway., Publisher: Chapman & Hall/CRC 2005
Required
ISBN: 9781584884248
Extending the linear model with R generalized linear, mixed effects and nonparametric regression models, Author: Julian J. Faraway, Publisher: Chapman & Hall/CRC 2006
Optional
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