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. 2015 Aug 11;10(8):e0134043. doi: 10.1371/journal.pone.0134043

Table 3. Summary of MMI model selection statistics for the set of candidate models (i) predicting presence of cold-evergreens and (b) the model averaged estimate for each parameter.

Model K AICc Δ AICc wi
BIO1 + BIO14 3 48.04 0 0.25
BIO1 + BIO2 3 48.05 0.01 0.25
BIO1 + BIO13 + BIO14 4 48.8 0.77 0.17
BIO1 + BIO12 + BIO2 4 49.57 1.53 0.12
BIO1 + BIO2 + BIO3 4 49.8 1.76 0.1
BIO1 + BIO12 + BIO13 + BIO14 5 50.87 2.83 0.06
BIO1 + BIO12 + BIO2 + BIO3 5 51.74 3.7 0.04

Symbols: AIC = Akaike information criteria, AICc = The second order information criterion, small sample unbiased AIC, (AICc) [79], Δ AICc = Difference from the smallest AICc, w i = Akaike weights of the candidate model i.