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Re: Fitting problem

  • To: mathgroup at smc.vnet.net
  • Subject: [mg95600] Re: Fitting problem
  • From: Ray Koopman <koopman at sfu.ca>
  • Date: Thu, 22 Jan 2009 07:02:43 -0500 (EST)
  • References: <gl4a9k$gk9$1@smc.vnet.net>

On Jan 20, 2:50 am, Ktota <Konstantin.... at gmail.com> wrote:
> Dear All ;),
>
> i have the following situation:
>
> 5 mathematical models describing the formation of different species.
> The models  (so the species) are interdependent, means.. they all have
> the same parameters but some of the have also other additional
> parameter. Example: Model 1 has a parameter "lifetime1"... model 2
> will include this parameter "liftime1" and a new parameter
> "lifetime2".
>
> My trouble is now to find best fit values for the parameters in all
> the models at the same time. I don't want to find a best fit for model
> 1 and then find out when doing best fit for model 2 that model 2 won't
> work with the parameter values found in the first run with model 1. So
> the fitting must consider all the models to find best fit values for
> the parameter.
>
> I wonder if this achievable with mathematica or if i would be better
> of with other software
>
> thank you for your help
>
>  Ktota

It can't always be done. It depends on both the models and
the experimental design under which the data were collected.
This is an "orthogonal design" problem.


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