Sentence examples for model weights w from inspiring English sources

Exact(2)

Based on model weights (w i ), there was little model uncertainty (Burnham and Anderson 2002) as to the selection of the best model among all candidate models.

Model weights (w) give the probability for each model that it is the best fit among those compared.

Similar(57)

The vegetation and water resources model for encamped had 95% of model support and was 5.75 AICc units better than the next best model, which only had a model weight (w) of 0.05 (Table 3).

(DOCX 19 kb) Additional file 4: Ranking of candidate models (representing all possible combinations of the five predictors in each global model) by AICc, along with relative log-likelihood (RLL), ΔAICc, and model Akaike weights (w i ) for: a) home range and b) group size.

The weights of evidence (w+ i ) for each predictor were calculated by summing the model AIC c weights (w i ) over all models in which each term appeared.

Each derived model, with associated weights w N and performance, is reported in Table 3.> -wrap-foot> Models 1 and 2 were trained on ICs_total and BSA_total, respectively, with a better performance of the ICs-based model (as already reported in Table 2) (root mean square errors [RMSEs] of 2.25 and 2.46 kcal/mol, for ICs and BSA, respectively).

In addition, we have included parameters that allow for further quantitative refinement of model predictions: reaction weights (W) and maximum activity values (YMAX).

Specifically, this involved fitting residual variances at unity and scaling the other terms in the model (1) with weights, w ij = EDC ij/g jjλ j, where g jj is the sire variance of the j'th country, with heritabilities provided by each participating country j and EDC ij is the bull's effective daughter contribution in country j [ 14].

Autocorrelation structures can be operationalized in statistical models as spatial weights (W ij ), wherein either centroid distance or contiguity (i.e., shared boundaries) is quantified for each observation pair.

In a stand-alone version of the density model, the weight W could be calculated by making reasonable assumptions on the values of log diameter, length, and taper.

At each scattering event, where the light-matter interaction is modeled, the weight W of the photon packet is decreased by an amount determined by the absorption coefficient µ a at the scattering location.

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