# Thread: how to calculate AIC criteria where model represent pdf with several parametrs

1. ## how to calculate AIC criteria where model represent pdf with several parametrs

Hello,
by definition AIC is a simple formula for estimating models,
AIC=2k-2ln(L), where L -s maximum log likelihood,
how to calculate AIC when fiitted model represents a PDF with several parameters?
For example If I want to fit data to a normal distribution,
I get 2 values of MLE (for mu and sigma).
2. I could be wrong, but I believe you can use the MSE as an estimate for $\displaystyle \sigma$.
$\displaystyle s^2 = MSE = \frac{n}{n-2}\hat\sigma^2$