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chi2 model variance and Cash/C-statistics.
BRTs combine many models (each classification tree) and include stochasticity to reduce model variance and improve predictive performance.
(2) State-level results are more variable, but on average, the percent model variance at the state level, i.e., (model variance / total variance) ∗ 100, increases from 16% to 59% when plot-ALS model variance is included.
Using hierarchical Bayesian model averaging (BMA), this study shows that segregating different uncertain model components through a BMA tree of posterior model probability, model prediction, within-model variance, between-model variance and total model variance serves as a learning tool.
In regression models, maternal BDE-47 explained more of the model variance of liver than of placenta BDE-47 concentrations (adjusted R2=0.79 vs 0.48, respectively).
Temperature contributed to more than 80% of the Michaelis Menten model variance while oxygen pressure contributed only with 13%.
Unfortunately it is not widely recognised that failure to model variance heterogeneity correctly leads to bias in the point estimates.
Optimal input design is an important step of the identification process in order to reduce the model variance.
The model variance component characterizes the variability of the regression coefficients used to predict ALS-based estimates of biomass as a function of GLAS measurements.
We focus on models in which the observations are assumed to be mutually independent but we do not require the validity of any assumption about their model variance.
Regression analysis showed that the stress manipulation influenced the level of anger and that change in anger predicted post-pain negative affectivity independently of the contribution of maximum pain (model R2 =.31), with 45% of the total model variance accounted for by change in anger and 17% of the total model variance accounted for by maximum pain intensity.
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CEO of Professional Science Editing for Scientists @ prosciediting.com