Calculate Akaike Information Criterion weight in matlab

I would like to calculate the akaike weight for my data (I have a vector of 5000 sample (time serie of small scale fading)) In order to know which statistical distribution (Rice, Nakagami, weibull) fits better my data.

In matlab, Normally the AIC is calculated using this:

value = aic(model) returns the normalized Akaike's Information Criterion (AIC) value for the estimated model.

I would like to know if the "model" refers to the fitted data. For example in my case : Fitted data to Rice, fitted data to Nakagami, etc.