Path: news.mathworks.com!not-for-mail
From: Peter Perkins <Peter.PerkinsRemoveThis@mathworks.com>
Newsgroups: comp.soft-sys.matlab
Subject: Re: bootstrap
Date: Fri, 04 Apr 2008 10:28:18 -0400
Organization: The MathWorks, Inc.
Lines: 14
Message-ID: <ft5du2$6vf$1@fred.mathworks.com>
References: <fsu4hh$n6e$1@fred.mathworks.com> <ft0hce$hh$1@fred.mathworks.com> <ft10bh$psn$1@fred.mathworks.com> <ft2glr$bu2$1@fred.mathworks.com> <ft2tg4$j2u$1@fred.mathworks.com> <ft31fe$7jm$1@fred.mathworks.com> <ft32f4$iqj$1@fred.mathworks.com>
NNTP-Posting-Host: perkinsp.dhcp.mathworks.com
Mime-Version: 1.0
Content-Type: text/plain; charset=ISO-8859-1; format=flowed
Content-Transfer-Encoding: 7bit
X-Trace: fred.mathworks.com 1207319298 7151 172.31.57.88 (4 Apr 2008 14:28:18 GMT)
X-Complaints-To: news@mathworks.com
NNTP-Posting-Date: Fri, 4 Apr 2008 14:28:18 +0000 (UTC)
User-Agent: Thunderbird 2.0.0.12 (Windows/20080213)
In-Reply-To: <ft32f4$iqj$1@fred.mathworks.com>
Xref: news.mathworks.com comp.soft-sys.matlab:461085


Corinne wrote:

> 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?

You may be able to do what's know as a "parametric bootstrap".  If you 
have some idea of the variability (and hopefully sampling distribution) 
in the individual observed values on your spatial grid, then you could 
simulate new values on the grid, and compute an interpolated value.  DO 
that a zillion times, and you get an idea of how variable the 
interpolated values are.

MATLAB is good at this.