Sentence examples for sum of residual errors from inspiring English sources

Globally, the sum of residual errors was not significantly reduced (p>0.05 for both 08L:16D and 16L 08D, Wilcoxon matched-pairs signed rank test).

For both photoperiods, the sum of residual errors was decreased for all genes when data were plotted with the new timescale, as compared to the initial plotting, and the overall alignment was significantly improved (p<0.01, Wilcoxon matched-pairs signed rank test).

This is solved by minimizing the sum of squared residual errors of the Euclidean transformation for (n) control points using the following: ∑ 1 n ∥ e i ∥ 2 = ∑ 1 n ∥ p Site i − s R P Thermal i − T ∥ 2 (6).

The variance of residual error signal can be adopted as residual error evaluation function.

Residual error series were obtained, respectively, via residual error generator designed using CPRBF network, and each variance of residual error series was calculated correspondingly.

To achieve the best performance model, a scoring table was proposed considering several factors including coefficient of determination, sum of errors, difference between training and testing errors, sum of residuals, deviation of predicted results from experimental one and complexity and generality of the models.

From the N sets of solution, the one with the lowest weighted residual sum-of-squared errors is chosen.

The delay and dispersion of the arterial input function was corrected by minimizing the residual sum-of-squared errors of model fitting to the whole-brain time activity curve.

Discrepancy principle (DP) is based on the idea that the regularization parameter should be chosen such that the sum of residuals should be equal to the error level of the data.

Further details about each tuning method can be found in Additional file 2. The methods considered can be classified into the following five groups: Discrepancy principle (DP) is based on the idea that the regularization parameter should be chosen such that the sum of residuals should be equal to the error level of the data.

These evidences include Fisher variation ratio (F-value), probability value (P-value), Lack of Fit, coefficient of determination R-squared (Rd2), adjusted R-squared (RAdj2), predicted R-squared (RPred2) and adequate precision of Predicted Residual Error of Sum of Squares (PRESS).