Apr-05-2024, 09:00 PM
I am trying to perform a best fit distribution using fitter (python).
But i am not able to understand the distribution parameters used in scipy
For Rayleigh distribution, for example, the pdf is
p® =(r/sigma^2)*exp(-r^2/(2*sigma^2))
But scipy define as
p® =®*exp(-r^2/2)
It is similar to Rice and Nakagami
So, when I compare to Matlab the estimated parameters are different.
How can I use this fitter package to estimate a distribution as it seems the definition of the pdfs seems to be different than the original definition?
Can anybody, please, help me?
But i am not able to understand the distribution parameters used in scipy
For Rayleigh distribution, for example, the pdf is
p® =(r/sigma^2)*exp(-r^2/(2*sigma^2))
But scipy define as
p® =®*exp(-r^2/2)
It is similar to Rice and Nakagami
So, when I compare to Matlab the estimated parameters are different.
How can I use this fitter package to estimate a distribution as it seems the definition of the pdfs seems to be different than the original definition?
Can anybody, please, help me?