How to calculate Akaike Information Criterion (AIC) for non-linear growth model

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Faye Anderson

In order to assess goodness of fit for a non-linear model, you can:

1) plot raw data against fitted one and compare

2) use S measure

3) AIC

4) BIC

R^2 is suitable for linear model.

Salvatore S. Mangiafico

AIC, BIC, and some pseudo r-square measures are based on the log likelihood and the number of terms and observations in the model. If you are able to extract the log likelihood from a model, these statistics can be calculated.

Sometimes AIC etc. are expressed in terms of deviance instead of log likelihood.

Sushanta Kumar Naik

Thanks Dr. Faye Anderson and Dr. Salvatore S. Mangiafico for necessary information.