Sentence examples for model selection uncertainty from inspiring English sources

Model selection uncertainty is rarely considered, although some authors have noted large differences between prediction equations, e.g., [9 11].

One of the strengths of building AIC models is the variety of methods that can be used to deal with model selection uncertainty (Garamszegi 2011).

In addition, the weights for these models were not high, particularly for the AIC and AICc (see Table 1) indicative of model selection uncertainty.

To account for model selection uncertainty, we averaged the estimates of the coefficients of main effect parameters in each model with ΔAICc ≤2 [29].

jModeltest provides two additional evaluation criteria, i.e. dynamical likelihood ratio tests (dLRT) and a decision theory method (DT), as estimates of model selection uncertainty, parameter importance and model-averaged parameter estimates, including model-averaged phylogenies.

This introduces noise through model selection uncertainty [ 29].

Heath and Smith [20] apparently did not include what we term model-selection uncertainty.

Inclusion of this level of model-selection uncertainty into the FORCARB uncertainty analysis would have likely increased tree C uncertainty and total forest C store uncertainty above the +/-9+/-9%y reported for their base model, perhaps to the point where it would exceed soil uncertainty [21].

This accounted for model-selection uncertainty (Burnham and Anderson 2002).

Heath and Smith [ 20] apparently did not include what we term model-selection uncertainty.

Model-selection uncertainty, when it occurs, is systematic error, and cannot be modeled independently for individual trees.