Engineering Applications of Statistics
The Akaike Information Criterion (AIC) is a statistical tool used for model selection that estimates the quality of different models for a given dataset. It evaluates how well a model fits the data while penalizing for the complexity of the model, helping researchers choose the best model among a set of candidates by balancing goodness-of-fit and simplicity.
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