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From: "Corinne " <chartin@rsmas.miami.edu>
Newsgroups: comp.soft-sys.matlab
Subject: Re: bootstrap
Date: Thu, 3 Apr 2008 17:00:20 +0000 (UTC)
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Peter Perkins <Peter.PerkinsRemoveThis@mathworks.com> wrote
in message <ft31fe$7jm$1@fred.mathworks.com>...
> Peter Perkins wrote:
> 
> > To me, it sounds like your matrix of data represents a
spatial 
> > configuration, and somehow your bootstrap samples would
have to preserve 
> > that, and so perhaps you need a stratified bootstrap. 
But it sunds like 
> > you have only one sample in each stratum, which means
you can usefully 
> > bootstrap.
> 
> Sorry, I meant to say, "you canNOT usefully bootstrap".

I'm trying to replicate previous methods published in a few
journals using a different data set.  I do have a spatially
dependent data set, based on latitude and longitude, and the
more I read on bootstrapping and from your comments the less
I am thinking that this is a viable way of estimating the
error.  What I want to get at is an error from interpolating
and contouring across areas that have no actual data points.
 Any other statistical methods to get a handle on this?
Thanks again for your help.