Page "Akaike information criterion" Paragraph 11

0. 007 times as probable as the first model to minimize the information loss.

In this case, we would omit the third model from further consideration.

We could take a weighted average of the first two models, with weights 1 and 0. 368, respectively, and then do statistical inference based on the weighted multimodel ; alternatively, we could gather more data to distinguish between the first two models.