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Re: How do you find curvature of "splattered" data?


From: Henry F. Mollet
Subject: Re: How do you find curvature of "splattered" data?
Date: Mon, 13 Mar 2006 16:22:50 -0800
User-agent: Microsoft-Entourage/11.1.0.040913

Here are a number of curved-line fitting methods from a different program:
DWLS (distance weighed least square), Inverse, Kernel, Linear, LOWESS, LOG,
NEXPO, Power, Quadratic, Spline, Step.
I don't remember what they all do and what the acronyms stand for.
Henry


on 3/13/06 1:59 PM, Robert A. Macy at address@hidden wrote:

> Quentin,
> 
> an arc, hmmm...interesting concept.
> 
> But I think what I need is a polynomial fit to splattered
> data.  
> 
> Where the solution would be a single curved line drawn as a
> "best" fit through the set of data.
> 
> The curve can be relative to the center of the data set.
> 
>            - Robert -
> 
> 
> On Mon, 13 Mar 2006 15:05:19 -0600
>  Quentin Spencer <address@hidden> wrote:
>> What do you mean by curvature? Are you trying to model
>> the data as fitting a circular arc and want to know the
>> radius? You could also model the data as quadratic (or
>> any higher degree polynomial for that matter). I imagine
>> that this would be a relatively straightforward extension
>> of the linear model you are now using.
>> 
>> -Quentin
>> 
> 
> 
> 
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