The phrase "averaged root mean square" is correct and usable in written English.
It can be used in contexts involving statistical analysis, signal processing, or any field where measurements are averaged and analyzed for variability or error.
Example: "The averaged root mean square of the data set indicates a consistent level of performance across the trials."
Alternatives: "mean root square" or "average RMS value".
R g is a geometrical quantity, which is defined as a weight averaged root mean square distance of elements (and in this case, scattering centers) from the center of mass.
The averaged root mean square (RMS) envelope of the vertical component at each station was calculated by stacking the 15-s envelopes of the normalized seismograms observed for all earthquakes (Figure 4).
We may also observe the extent to which the PDF curve of the statistic model matches that of clutter data by calculating the averaged root mean square error (RMSE) for each dataset.
The performance evaluation of the methods is performed in terms of averaged root mean square error ((overline {text {{RMSE}}})) and 95% confidence interval (CI) calculated between the constructed RF-REMs and the reference RF-REM, as well as in terms of false alarm zone ratio (FAZR) and correct detection zone ratio (CDZR 1).
We perform a systematic investigation of the impact of the number and distribution of measurements in realistic directional Tx scenario and evaluate the proposed RF-REM construction method in comparison to several existing RF-REM construction methods by using averaged root mean square error ((overline {text {{RMSE}}})) as the performance metric.
The merged ET product exhibited the best performance with a decrease in the averaged root-mean-square error (RMSE) by 2 5 when when compared to the individual products.
To accomplish this, we measure the averaged root-mean-square (RMS) amplitude of the Lg wave on the seismograms for frequencies around 1 Hz by applying a band-pass filter with a pass band frequency between 0.75 and 1.5 Hz.
The result presented is the individual or averaged root-mean-squared-errors (RMSE) in estimation of all the source DOA's, evaluated from 1500 MonteCarlo runs.
The last 50 ns of simulation were considered for analysis, where the averaged root-mean-square deviation of Cα atoms (Cα-RMSD) from the averaged structures stabilized around 2.00 ± 0.09 Å, 1.80 ± 0.09 Å, 1.86 ± 0.11 Å, and 2.03 ± 0.10 Å, for the native (sim1), hairpin mutant (sim2), helix mutant (sim3), and helix-hairpin mutant (sim4), respectively.
The six Pfs25 structures superposed well, displaying a low average root mean square deviation (RMSD) of 0.8 Å.
The model correlates the solubility of the ternary systems with an acceptable average root mean square deviation (σx = 0.0039).
