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.
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.
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 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 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 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.
Area-based models were accurate for all structural attributes, with cross-validated average root mean squared error ranging from ∼3.4 to ∼13.4 in the best modeling case.
The best performing algorithm used a response mapping method and predicted the mean EQ-5D with accuracy with an average root mean squared error of 0.17 (Standard Deviation; 0.22).
