<p><sup>1</sup> MSEP = mean square error of prediction and CCC = concordance correlation coefficient.</p><p>Adequacy statistics from the cross-validation simulations (n = 1,000) for selected equations.</p
<div><p>(A–C) Cross-correlation functions (CCF) with (A) SST 4, (B) MEI, (C) Temperature. The blue d...
<p>Comparison of the interpolation accuracies achieved using MSE, MAE and MRE based on a cross-valid...
<p>The number of misclassified samples for each run and the final accuracy using 10-fold cross-valid...
<p>Simulation based estimates of the mean square error, for highly correlated data, <i>T</i> = 100 ⋅...
<p>Results show the mean accuracy (upper plot) and proportion of significant results (bottom plot) o...
<p>Five-fold cross-validation of the linear (blue bars) and the nonlinear (yellow bars) models on th...
A: Number of true predictors that had a non-zero coefficient estimate (Oracle = 5). B: Number of fal...
<p>Standardized mean square error (MSE) and standardized bias for corrected (Corr.) and uncorrected ...
<p>Accuracies of estimates (, , and ) and regression coefficients of estimates on their true values ...
<p>Due to cross-validation and the number of the various measurements available, see <a href="http:/...
textWhen testing structural equation models, researchers attempt to establish a model that will gen...
textWhen testing structural equation models, researchers attempt to establish a model that will gen...
Confounding can be a major source of bias in nonexperimental research. The authors recently introduc...
Accuracy measures for 10-fold cross-validation of Model 1 using the entire feature set for predictio...
Using empirical data, the performance of the predictive effectiveness of four algorithms and a boots...
<div><p>(A–C) Cross-correlation functions (CCF) with (A) SST 4, (B) MEI, (C) Temperature. The blue d...
<p>Comparison of the interpolation accuracies achieved using MSE, MAE and MRE based on a cross-valid...
<p>The number of misclassified samples for each run and the final accuracy using 10-fold cross-valid...
<p>Simulation based estimates of the mean square error, for highly correlated data, <i>T</i> = 100 ⋅...
<p>Results show the mean accuracy (upper plot) and proportion of significant results (bottom plot) o...
<p>Five-fold cross-validation of the linear (blue bars) and the nonlinear (yellow bars) models on th...
A: Number of true predictors that had a non-zero coefficient estimate (Oracle = 5). B: Number of fal...
<p>Standardized mean square error (MSE) and standardized bias for corrected (Corr.) and uncorrected ...
<p>Accuracies of estimates (, , and ) and regression coefficients of estimates on their true values ...
<p>Due to cross-validation and the number of the various measurements available, see <a href="http:/...
textWhen testing structural equation models, researchers attempt to establish a model that will gen...
textWhen testing structural equation models, researchers attempt to establish a model that will gen...
Confounding can be a major source of bias in nonexperimental research. The authors recently introduc...
Accuracy measures for 10-fold cross-validation of Model 1 using the entire feature set for predictio...
Using empirical data, the performance of the predictive effectiveness of four algorithms and a boots...
<div><p>(A–C) Cross-correlation functions (CCF) with (A) SST 4, (B) MEI, (C) Temperature. The blue d...
<p>Comparison of the interpolation accuracies achieved using MSE, MAE and MRE based on a cross-valid...
<p>The number of misclassified samples for each run and the final accuracy using 10-fold cross-valid...
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