Well, here is a good source--wikipedia. 
 
http://en.wikipedia.org/wiki/Bootstrapping_(statistics)


________________________________

	From: 증쌤 [mailto:jerryliu4u@gmail.com] 
	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 <HDoran@air.org>:
	

		> 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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