8), although by convention more complicated models are not favored over simpler models that have lower QAIC scores.
8 Model QAIC * Cumulative weight weight Depth + [depth.
In an information-theoretic context, over-parameterized models would simply be penalized for requiring additional parameters to explain the same amount of variation in the data and therefore would be unlikely to be selected with QAIC.
3); the base model plus a hook main effect received majority support as the best fitting model and models that included hook-user, hook-leader, and hook-species interactions had QAIC values within four units of the best fitting model.
We selected a model, based on the lowest QAIC
value, in which rates of survival varied by time (trapping session) and rates of recapture varied by group (site).
In the Garden PMU, three models were found to be significant ([DELTA] QAIC < 2) in predicting pronghorn ASRs (Table 2) and included 69% of the model weights.
Quasi-Akaike Information Criteria (QAIC) scores, differences in QAIC score between the ith and top-ranked model (A QAIC), QuasiAkaike weights (w), and number of variables (k) for models predicting ASRs of pronghorn (Antilocapra americana) in Nebraska for four pronghorn management units.
52), the difference between the model QAIC
, and the best fit model [QAIC