We consider model selection uncertainty in linear regression. We study theoretically and by simulation the approach of Buckland and co-workers, who proposed estimating a parameter common to all models ...
A new graphical method for assessing parametric transformations of the response in linear regression is given. We simply regress the response variable Y on the predictors, find the fitted values, and ...
The purpose of this tutorial is to continue our exploration of regression by constructing linear models with two or more explanatory variables. This is an extension of Lesson 9. I will start with a ...
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