Sentence examples for mean square standardized from inspiring English sources

Both types of the fit statistics are measured as mean square standardized residuals (MNSQ).

Among the models examined (exponential, Gaussian, and spherical), the best-fit model was chosen according to the scores of the root mean square standardized prediction error and the mean prediction error.

We developed a semiautomated program to enable large-scale daily kriging estimation and assessed validity of semivariogram models using prediction error (PE), standardized prediction error (SPE), root mean square standardized (RMSS), and SE of the estimated PM. National- and regional-scale kriging performed satisfactorily, with the former slightly better.

Alpha level was set at 0.05 for power analyses; the Root Mean Square Standardized Effect (RMSSE) was estimated separately for each experiment This paper was supported by the following grants: http://dx.doi.org/10.13039/100000062 National Institute of Diabetes and Digestive and Kidney Diseases DK097147 to Scott E Kanoski.

Three cross-validation statistics were reported, namely prediction error (PE), standardized prediction error (SPE), and root mean square standardized (RMSS).

Root mean square standardized effect [ 122] with sample size bias adjustment was calculated for each assay with the equation, and unbiased standardized pairwise mean differences (g) between wildtype PRE and each mutant within each assay were also calculated with the equation g = m j - m c MSerror × Γ 2 n − 2 2 Γ 2 n − 3 2 2 n − 2 2 [ 43].

Four cross-validation prediction error parameters were taken into account: root-mean-square (RMS), mean standardized (MeanStan), root-mean-square standardized (RMSStan) and average standard errors (ASE) for geostatistical methods.

Root-mean-square error, mean square error, absolute square error, mean error, root-mean-square standardized error, measured values versus predicted values were used for cross-validation.

The closer the mean error was to zero, the closer the root-mean-square standardized error was to 1, signified that the prediction values were close to measured values (Castrignano et al. 2007).

RMSR = Root Mean Square of Standardized Residual.

χ 2 /df., Ratio of Chi-square; GFI, Goodness of Fit Index; AGFI, Adjusted GFI; NFI, Normal Fit Index; RMSR, Root Mean Square of Standardized Residual.