I have three different models for a given set of data. Each of the models has a different error distribution. These error distributions are known.
How can I decide what is the best model?
I have three different models for a given set of data. Each of the models has a different error distribution. These error distributions are known.
How can I decide what is the best model?
You could try comparing their AIC values (Akaike Information Criterion)