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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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