Hi Doran, Maybe I am wrong, but I think bootstrap is a general resampling method which can be used for different purposes...Usually it works well when you do not have a presentative sample set (maybe with limited number of samples). Therefore, I am positive with Michal...
P.S., overfitting, in my opinion, is used to depict when you got a model which is quite specific for the training dataset but cannot be generalized with new samples...... Thanks, --Jerry 2008/7/21 Doran, Harold <[EMAIL PROTECTED]>: > > I used bootstrap to virtually increase the size of my > > dataset, it should result in estimates more close to that > > from the population - isn't it the purpose of bootstrap? > > No, not really. The bootstrap is a resampling method for variance > estimation. It is often used when there is not an easy way, or a closed > form expression, for estimating the sampling variance of a statistic. > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html<http://www.r-project.org/posting-guide.html> > and provide commented, minimal, self-contained, reproducible code. > [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
