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Curve fitting for two types of behaviours ( aiming for exponentials)
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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
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Image Analyst
2015-5-31
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
2015-5-31
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.
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