Error Statistics Using the Akaike and Bayesian Information Criteria.

Many biologists, especially in ecology and evolution, analyze their data by estimating fits to a set of candidate models and selecting the best model according to the Akaike Information Criterion (AIC) or the Bayesian Information Criteria (BIC). When the candidate models represent alternative hypoth...

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Bibliographic Details

Published in:	Erkenntnis Vol. 91; no. 1; pp. 379 - 409
Main Authors:	Cheng, Henrique, Sterner, Beckett
Format:	Article
Published:	Springer Nature Jan2026
Subjects:	Akaike information criterion Neyman-Pearson theorem Statistical errors Philosophy of science Life sciences
Online Access:	View this record in EBSCOhost