Curve fitting for two types of behaviours ( aiming for exponentials)

Hello, I have a set of points made out of an expriment, I am trying to somehow fit it with a curve which will be an exp function ( and not power) i tried cftool, but it has been unsucsessfull so far,

the problem is the the point are acting as a gaussian at the first few points and after, they behave as an exponent ( or power function)

any tips how i can fit a curve that would incloude or 1) 2 exponents 2) stich 2 solutions ( for first region and second) but with a stich that its derivative wont be huge. 3) other methods of approach?

Thanks you very much Eyal

[dpb]

Attach your data -- such questions are virtually impossible w/o visualization.

[Image Analyst]

What do you want to do? Do you want to create a parameterized model like you use polyfit() for? Do you just want a smoothed version of the data like you use conv() and sgolayfilt() for? Your data sounds like it might be a log-normal distribution but we can't see since you didn't attach any data or screenshots. Don't make us work blind.

[Star Strider]

Are you fitting a model of the process that produced your data, or a probability distribution of it?

If you can create a mathematical model of that process, that’s the first step to doing a parametric model fit.

If you are doing a probability distribution, start with the histfit function.