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Re: simultaneous nonlinear regression of a lot of data

• To: mathgroup at smc.vnet.net
• Subject: [mg65440] Re: [mg65427] simultaneous nonlinear regression of a lot of data
• From: Mary Beth Mulcahy <Mary.Mulcahy at colorado.edu>
• Date: Sat, 1 Apr 2006 05:38:59 -0500 (EST)
• References: <200603311109.GAA15091@smc.vnet.net>
• Sender: owner-wri-mathgroup at wolfram.com

There was a great post about this topic that helped me.  Here is the link:

http://forums.wolfram.com/mathgroup/archive/2004/Oct/msg00031.html


I have used it on very large data sets of up to 3 sets of the data at a time.

mb

Quoting dantimatter <dantimatter at gmail.com>:

> Hello all,
>
> I have a question about using the nonlinear regression function on a
> large data set.  Perhaps some of you have suggestions, and can point me
> in another direction if this is not the best way to solve this problem.
>
>
> Basically I have ~100 data sets of ~200 points each, and I'd like to
> fit each set to the following function:
>
> G(t) = 1/N * [ y / (1+t/m1) + (1-y) / (1+t/m2) ]
>
> For each data set, the numbers N and y are different, but the numbers
> m1 and m2 are the same for all data sets.  The problem is that I only
> know m1, and not m2.  I am hoping to simultaneously solve all these
> data sets to come up with a value for m2, but I'm not entirely sure how
> to code it.  I can come up with a reasonable m2 to start any
> regression.
>
> Any thoughts?
>
> Thanks!
>


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