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It takes into account both the model error, i.e., the least squares error, and the number of parameters needed to describe the data.
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In environments with such severe dispersion in both time and frequency, the model error performance can actually be improved by increasing the oversampling factor.
The model error time scaleτ ε depends on both the model and on the duration of the sequential assimilation.
These residuals, computed from the available data, are treated as estimates of the model error, ε.
In this contribution we discuss the model error concepts and model error modeling for control design.
For pH there was no contribution of the model error.
Also, the effects of the model error can be overcome by retraining using state transition data with the model error.
The model error of this best classifier was 11.3%.
The model error of each set of PWMs was calculated.
Although a recovered covariance matrix affords an estimate of the model error in a tree level biomass estimate, the model-error is conditional on a correctly specified model.
The allowable ranges of the model error were broad, but the mean model error for all the enzyme combinations decreased as the number of integrated enzymes increased.
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