Model comparisons.
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The Akaike Information Criterion (AIC) provides a means for ranking models based on the number of parameters used to fit the data (r) and the residual error (Merror2), [26]. AIC = nlog(error) +2(r +2), where n is the number of data points and r is the number of free parameters. Error = Merror2(n−r−1)/n.
创建时间：
2015-12-02
