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Errors were characterized by comparison to the known reference sequences (see methods), showing that the primary error mode was insertions, at 12%, followed by deletions, 2% and apparent mismatch errors at 1%.
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Likewise, the uncertainty pertaining to power forecast errors is characterized through scenario sets.
For each type of model, morphologic, syntactic, and semantic errors are characterized.
IRI-2001 and IRI-2007 relandve errors arelativecterrors by consideraree 11-year and annual variations.
The range errors are characterized and performance of the system is assessed in a static environment.
Therefore, the level of measurement errors are characterized by the measurement SNRs. Figure 4 provides the mean-square error (MSE) of (hat {mu }), i.e., (E{|hat {mu }-mu |^{2}}), versus different measurement SNR, where the number of antennas at the ST is N=16 and two values of δ μ for the probing range are set.
Measurement errors are characterized by calculating percentage errors between the measured values and predictions.
Using a mixed model for repeated measures, the different sources of variability, being inter-tomato variability, intra-tomato variability and measurement error were characterized being of great benefit to the researcher.
This error is characterized by the Signal to Noise Ratio (SNR) [27], which can be expressed by (2).
In the MMSES case, all the trajectories tend to reach a zero steady state error whereas the BJ code error is characterized by two different behaviors.
In [5] this error was characterized in the time domain; in contrast, we pursue here a frequency-domain approach, which is needed to separate each RDM-like channel and will lead to a somewhat simpler expression.
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