Prof. Samprit Chatterjee will be teaching an online short course in
regression Sept. 17 – Oct. 15 at statistics.com. 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 third 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). Participants
interact with the instructor via a private discussion board over
approximately 4 weeks; the course will require about 10 hours per week and
there are no set hours when you must be online.
Registration and details:
<http://www.statistics.com/content/courses/datamining/index.html>http://www.statistics.com/content/courses/regression/index.html
Peter Bruce
statistics.com
[log in to unmask]
|