np.random.normal(mean,sigma,size) allows to create a gaussian distribution based only on mean and variance. I want to create a distribution based on
scipy.stats.gengamma but I don't understand how to use it. It takes 2 parameters -
c and creates a distribution. But it is difficult to interpret for what values of
c, the function will give a particular value of skewness and kurtosis.
Can anyone explain how to use
gengamma or any other way to create such a distribution in python, even from scratch by writing mathematical equations?
Edit: By Gaussian, I mean that I want the distribution to be normal with some skewness or kurtosis as well. It need not be a standard normal distribution.