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The difference between models (problems) can be inferred by comparing their model fragments.
Also, activity 4 marked the first time the students had to perform model validation by comparing their model simulations against expert simulations and had to compare the two sets of animations and plots to assess the correctness of their models.
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We evaluated the prediction accuracy of the proposed models by comparing their performance with the Shift Model under varied prediction interval using the real data collected in the traffic simulator SUMO.
This study investigates the applicability of various tile drainage modeling concepts by comparing their results to a reference model.
We determine the statistical significance of the 2 full models by comparing their fit with the respective null model (containing only the random and control factors) with a log-likelihood ratio test.
The first part of the paper examines the accuracy of various revised k ε models, i.e. LK model, MMK model and Durbin's revised k ε model, by comparing their results with experimental data.
We have assessed two types of numerical models for the front condition (the Boundary Condition (BC) model and the Artificial Bed (AB) model) by comparing their numerical results with the analytical results.
Credibility of the methods is verified by comparing their results against reference models designed using MRA imaging simulator.
In addition, we conduct another source inversion with a single fault plane model to demonstrate the significance of using the curved fault model by comparing their results.
It is normal practice to validate simulation models by comparing their numerical results to experimental data.
We tested the performance of these alternative models by comparing their Log-Likelihood (LL) with the LL of the (base) model that included only the non-health outcome dummies.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com