Online short course: Modeling in R
Dr. Phillip Good will offer the short course "Modeling in R" online at
statistics.com April 8-29, 2005.
This 3-week course will show you how to use R to create models for use in
classification and prediction. You will be introduced to advanced graphing
methods as needed. Modeling techniques include OLS, LAD, and EIV
regression, quantile regression, and decision trees.
Dr. Phillip Good is the author of Introduction to Statistics via Resampling
Methods and R (Wiley, 2005), Common Errors in Statistics (and How to Avoid
Them) (Wiley, 2003 with James Hardin), plus a number of other books in
statistics. He has given tutorials at the Joint Statistical Meetings (U.S.)
and Deming Conference, lectured in Belgium, France, Holland, Ireland, and
Spain, and was a traveling lecturer for the American Statistical Association.
The course lasts three weeks and consists of a series of three lessons
(assigned readings and/or notes, plus exercises). Direct interaction (Q&A)
with the instructor throughout the three week period takes place via a
private discussion board. Expect to spend about 10 hours per week
(participants earn 1.5 CEU's); there are no set hours when you must be
online.
Details and registration:
http://www.statistics.com/content/courses/modelingR/index.html
Peter Bruce
pbruce at statistics.com
