How this calculation works
Compute both information criteria and the small-sample AIC correction when it exists.
THE FORMULA
AIC=2k−2ln(L); BIC=k ln(n)−2ln(L)A worked example
With log likelihood −120 and four parameters, AIC is 248.
Good to know
Compare models fitted to the same response data under comparable likelihoods.
Reference: OpenStax Introductory Statistics (opens in a new tab) ↗
Read the result
Compute both information criteria and the small-sample AIC correction when it exists.
The primary result is labeled “Akaike information criterion”. Keep the input definitions in view when comparing this result with another method.
Try a related calculation
Compare models fitted to the same response data under comparable likelihoods.
For a related exercise, try the statistics calculator.
A few questions, answered
How can I check the default inputs by hand?
With log likelihood −120 and four parameters, AIC is 248.
Which rule does this calculator apply?
AIC=2k−2ln(L); BIC=k ln(n)−2ln(L)