Compare models with Akaike's method and F test

Enter your data

This calculator helps you compare the fit of two models to your data. Enter the goodness-of-fit (sum-of-squares, or weighted sum-of-squares) for each model, as well as the number of data points and the number of parameters for each model. The calculator will compare the models using two methods. First, it uses Akaike's method*, which uses information theory to determine the relative likelihood that your data came from each of two possible models. Then it uses the F test (extra sum-of-squares test) to compare the fits using statistical hypothesis testing.

*This calculator actually uses AICc, which is AIC with a correction to handle small sample sizes and to avoid overfitting

Number of data points (N):

Model name

Sum-of-squares
SS

Number of parameters
K

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