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Re: best fitting

  • To: mathgroup at smc.vnet.net
  • Subject: [mg86725] Re: best fitting
  • From: dh <dh at metrohm.ch>
  • Date: Wed, 19 Mar 2008 05:26:58 -0500 (EST)
  • References: <fro394$i7k$1@smc.vnet.net>


Hi,

this recursive definition is a hard nut. I do not know a direct way, but 

you could try iteration. Assume a K, make your fit, calculate a new K, 

make another fit, ..., then hope that the whole procedure converges.

hope this helps, Daniel



umby wrote:

> Hi,

> 

> 

> 

> I have some experimental data in the form of quadruplets {P, W, t, D}.

> 

> How can I find the best fit parameters: alfa, A and E1 of the function:

> 

> 

> 

> P = { (W - K^2/3) / t + A [(W - K^2/3) / t]^3} E1 (t^4) / (25^2)

> 

> 

> 

> where K = P / (alfa D^0.5).

> 

> 

> 

> Thank you

> 

> -u

> 

> 

> 




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