First, I conducted a confirmatory factor analysis (CFA) for two models of the measure of psychological empowerment, a one-factor model and a four-factor model, by calculating chi square/degrees of freedom ([chi square]/df),

root mean square error of approximation (RMSEA),

root mean square residual (RMR), goodness-of-fit index (GFI), normed fit index (NFI), comparative fit index (CFI), and incremental fit index (IFI).

Mustapha and all describe the use of

Root Mean Square Deviation (RMSD) techniques in the structural health monitoring of composite structures.

Root mean square error of approximation (RMSEA) The RMSEA (Steiger, 1980) is a widely used fit measure in structural equation modeling:

Advantages of the mean absolute error (MAE) over the

root mean square error (RMSE) in assessing average model performance.

The calibration of steady state, finite difference flow model of Rechna Doab was confirmed by

root mean square value, normalized

root mean square value and correlation coefficient of data (Observed Vs Calculated heads) obtained after model calibration Fig-2.

Similarly,

root mean square error (RMSE) is the measure of average magnitude of the error.

The minimum

root mean square error of partial least squares regression (RMSE=0.

The balance stability was measured by computing the area, the sway path, and the

root mean square of the COP motion, whereas the structure of the postural control was assessed by computed approximate entropy, fractal dimension, and the mean power frequency.

In the first step, we estimate these univariate models and observe their in-sample and out-of-sample forecasting performance over three short-term scenarios of 3, 6 and 12 months through the

Root Mean Square Error (RMSE).

TI's LMK03318 clock generator, available from Mouser Electronics, delivers a high-performance PLLatinum fractional-N phase-locked loop (PLLs) with eight outputs to enable ultra-low jitter performance of 100 fs

root mean square (RMS) over multiple integration bandwidths (1 KHz-5 MHz and 12 KHz-20 MHz).

The mean values for filtered QRS complex, low amplitude signals and

root mean square voltage in patients with and without left ventricular hypertrophy were 118.

In order to quantitatively analyze the effect of underwater acoustic signal predicting modeling method with genetic algorithm, the

root mean square error and the signal error ratio are used.