I want some data to fit the corresponding Gaussian distribution.
The data is meant to be Gaussian already, but for some filtering reasons, they will not perfectly match the prescribed and expected Gaussian distribution. I therefore aim to reduce the existing scatter between data and desired distribution.
For example, my data fit the Gaussian distribution as follows:
The approximation is already decent, but I really want to crunch the still tangible scatter between simulated data and expected distribution.
How can I achieve this?