Re: Fitting multiple datasets to "partially" the same model (global fit with shared parameters)

[JokerOne]

Yes, my explanation was not precise.

Indeed, the knowledge I was talking about is about the *values* of the
parameters.

So, indeed, the model function(s) for the dataset 1 to n should be noted, in
my example, like:

F_1(x) = (a0_1*ln(x)) * (b1 + b2*x) for dataset 1
F_2(x) = (a0_2*ln(x)) * (b1 + b2*x) for dataset 2
...
F_n(x) = (a0_n*ln(x)) * (b1 + b2*x) for dataset n

With "unique" a0_i for all datasets and common parameters b1, b2. Now, the
fitting procedure could be performed simultaneously, I guess. At least, if
this should be of some use?

I hope that clarifies my question.



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