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: <email@example.com>
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.