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Exact(9)
To reduce the effects of force model error on precise orbit determination, one can estimate a set of empirical parameters.
Two models are defined, one for the process variables and one for the model error on each of the process variables.
δ% calculates the non-dimensional error of the model in percent, but RMSE and MAE calculate the model error on the same scale as the output parameters.
In addition, a non-parametric test (Monte Carlo simulation) is employed to quantify the effects of numerical model error on the identified human-structure interaction forms.
In the model the parameters were represented by polynomials of the stage number and the dependence of model error on the degrees of the polynomials was studied.
Note that in Figure 5, there is a region to the left in the figure where the model error (on the horizontal axis) is insensitive to variations of (sum _{n} R_{i,n} |w_{i}(n)|) (on the vertical axis).
Similar(51)
In this paper, we study the effect of model errors on the performance of feedforward controllers.
It is demonstrated that the method manages to find a map describing the sensor error in the presence of model errors on a measurement sequence not specifically designed for adaptation.
Likewise, the SD_ØFE case added only simulated transport model errors, with no biospheric fluxes, enabling an investigation into the effects of transport model errors on hindering detectability.
The SD_BFE case was ultimately used to investigate the combined effects of the biospheric CO2 signal and transport model errors on limiting detectability.
Finally, a better understanding and quantification of the effects of allometric model errors on overall uncertainties of ALS-based models and AGB estimates is a fundamental topic for future studies.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com