Path: news.mathworks.com!not-for-mail
From: Peter Perkins <Peter.PerkinsRemoveThis@mathworks.com>
Newsgroups: comp.soft-sys.matlab
Subject: Re: bootstrap
Date: Thu, 03 Apr 2008 07:56:42 -0400
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Corinne wrote:
> Thanks Peter, I'll try to explain it a bit better. 
> So essentially what I would like to do is re-sample the data
> 100 times, and take the average rms value at each point. So
> I have a 56x13 matrix of gridded and interpolated ocean
> tracer data. I would like to get back a 56x13 matrix of the
> average rms values for each point in the matrix.  From this,
> I wnat to plot the average rms data to look at where the
> highest/lowest areas of errors are and generate a total
> error on my data.

Corinne, in order to use the bootstrap properly, you need to define how 
your bootstrap samples will be drawn from your original data, and that 
requires you to think about how your data were originally sampled, 
whether they are independent and identically distributed or not, and if 
not, what component of your data is independent and identically distributed.

The book by Efron&Tibshirani is a good introduction, you might find it 
helpful.