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Model comparison also shows that STAFFNs produce consistently lower biases than STARFMs and the flexible spatiotemporal data fusion models (FSDAFs).
MSD1 from RFBC also shows consistently lower biases than what we get from the original RF model.
However, both the raw and bias-corrected streamflow forecasts have lower biases, stronger correlations and are more skillful in CB- and CN-RFCs than AB- and MA-RFCs.
The generalized rating-curve approach produces biased estimates of the total sediment loads by −30% to 83%, whereas the new approaches produce relatively much lower biases, ranging from −24% to 35%.
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This algorithm presents the lower bias on the quantification.
Lower bias values resulted in better erosion performance.
The separation of crystals was better in lower bias voltages in all four devices.
Our DGH9 model performs better than other models, with lower bias and better precision.
The pressure effect was conspicuous at lower source power, lower bias power, or higher C2F6 flow rate.
Finally, the MR-based MC method yields lower bias and variance in K1 values than NMC and GA, respectively.
On the contrary, the correlation between 3B42 RT and gauge data is more scattered; statistically, this results in lower bias.
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