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Maximum relative bias of 2.88% was obtained about API target content.
Considering sample complexity, validation results were satisfactory with maximum repeatability and intermediate precision RSD of 12.2% and a maximum relative bias of 1.4%.
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The minimum, median, and maximum relative biases are reported in Table 1.
All models perform relatively well in terms of relative bias and variation of relative bias.
The relative bias is defined as.
Figure 2 Relative bias of the I component estimate.
The designs were assessed by computing bias, relative bias, mean square error and coverages of confidence intervals.
The Nash-Sutcliffe Coefficient of Efficiency (NSCE) and the relative bias ratio (BIAS) were used to evaluate hydrologic model performance.
In addition, the SVR-RFFA model also performed well based on other goodness-of-fit statistics such as BIAS (mean bias) and BIASr (relative BIAS).
Simulation results indicate that the proposed methods perform competitively in terms of relative bias and relative root mean square error.
The various sampling methods were compared in terms of the relative bias, and the relative root mean squared error (RMSE%).
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