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Based on this model, an estimation algorithm for the inductance of the magnetic levitation system is introduced.
From the analysis of the discrete element model an estimation for the coefficient of variation of the simulation results is derived and validated.
On the other hand, by using an ANOVA for repeated measurements or a linear regression model, an estimation of the variability for all samples could be given.
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The approximation models include an estimation model for obtaining material non-proportional cyclic hardening coefficient, and a simple multiaxial fatigue life estimation model for steels based on hardness as the only required material property.
We used a branch model with an estimation of codon usage using an F3x4 model.
Network inference includes two steps: a selection of a model and an estimation of its parameters.
Thus, this difference divided by that of the covariate model gives an estimation of the heritability.
Thus, the 30% we used in our model is an estimation that might change according to specific situations.
Having both parts of the model available, an estimation of the complete flux distribution, considering fluxes through both parts of the PTS branches, is possible.
Two types of data sets are obtained via simulation: an estimation data set (EDS) for model estimation/inference and a validation data set (VDS) that is used to evaluate the quality of the model estimated from an EDS.
For calibrating the conjoint RP/SP model, an iterative estimation method proposed by Swait and Louviere has been applied [38].
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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