Prof. Samprit Chatterjee will be teaching his short course
in regression March 28 - April 25 online at statistics.com.
Participants can ask questions and exchange comments with
Dr. Chatterjee via a private discussion board throughout
the period.
The course covers simple and multiple linear regression,
standard assumptions and how to check them, what to do when
they are not appropriate, diagnostics for residuals and
influential observations, transformations,
multicollinearity, auto-correlation, variable selection
and more.
Prof. Chatterjee is Visiting Professor at Mount Sinai
School of Medicine, Professor Emeritus of Statistics at
NYU, and co-author of "Regression Analysis by Example" (the
course text), now in its fourth edition. He has also co-
authored "Sensitivity Analysis in Linear Regression" and
"A Casebook for a First Course in Statistics and Data
Analysis" (both Wiley).
The course will require about 10-15 hours per week. Work
on your own schedule, there are no set hours when you must
be online.
Registration and details:
http://www.statistics.com/ourcourses/regression/
Peter Bruce
courses@statistics.com
P.S. Also coming up at statistics.com:
March 28: The Bootstrap
April 4: Missing Data
April 11: Categorical Data Analysis
April 25: Sample Size and Power
April 25: Logistic Regression
P.P.S. If you'd rather not receive our course notices,
please just let me know.
statistics.com 612 N. Jackson St. Arlington VA 22201 USA