Well, here is a good source--wikipedia.
http://en.wikipedia.org/wiki/Bootstrapping_(statistics)
________________________________
From: Áõ½Ü [mailto:[EMAIL PROTECTED]
Sent: Monday, July 21, 2008 3:56 PM
To: Doran, Harold
Cc: Michal Figurski; Frank E Harrell Jr; r-help@r-project.org
Subject: Re: [R] Coefficients of Logistic Regression from bootstrap -
how to get them?
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.
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