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These algorithms provided a robust estimation of DIC and TA, with corresponding Root Mean Squared Errors of 7.66 and 5.09 µmol/kg, by accounting only for potential temperature, salinity, pressure, and nitrate concentration.
However, the corresponding root mean squared error estimates in Table 5 disprove this suspicion.
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The corresponding root mean square (RMS) errors were 0.07 m and 3° when the combine harvester autonomously performed soybean harvesting at a speed of 0.97 m/s in the field.
As an example, the extrapolations for Database 6, Test 3 are presented in Figure 4, and the averaged values for Databases 1 6 are listed in Table 4. Table 4 Average maximum values derived with different signal-based models for Databases 1 6, using different fitting functions, and corresponding root mean square errors.
Since we are limited to the use of only the information available from Weintraub et al. [ 2], along with the corresponding root mean square errors (RMSE), we are unable to calculate predicted standard deviations for each age, education, and sex combination without the raw data for all subjects.
The same qualitative conclusions can be drawn by comparing the distribution of the superposed structures or the corresponding root mean-square deviations (RMSD, Fig. 3).
The corresponding root-mean-square (rms) roughnesses are 0.81, 1.36, 1.67, and 2.18 nm, respectively.
The data is analyzed and the vibration transmissibility is calculated using the corresponding root-mean-square values of acceleration.
The corresponding root-mean-square error of validation (RMSEV) and R values for each model are 2.50 and 0.94 for model 1, 0.32 and 0.95 for model 2, and 0.07 and 0.95 for model 3.
With a drop of 9 outliers corresponding to a DR .0044, the RLEM shows the best root mean squared error.
(d) Root mean squared (RMS) surface roughness in nanometer of the corresponding samples.
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