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Despite coming from different statistical backgrounds, both Muthén's Mplus software [ 19] and GLLAMM are capable of modelling a mixture of continuous, ordinal and nominal scale variables, multiple groups (including clusters) and hierarchical (multi-level) data, random effects, missing data, latent variables (including latent classes and latent growth models) and discrete-time survival models.
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They are capable of modeling proximity and orientations.
"Neural networks are advanced modeling techniques, which are capable of modeling complex functions.
Both are capable of modeling combination of streets and freeways, including signal control and other strategies.
Though apparently simple, CA models are capable of modeling complex dynamic systems such as urban systems.
Time series models and artificial neural network (ANN) models are such 'black box' models which are capable of modeling a dynamic system.
Due to this fact, none of the idealized hardening models are capable of modeling such material's unloading behavior properly.
From such results, one notices that the reduced-rank approaches are capable of modeling the considered fourth-order kernel with very good accuracy.
The available heterogeneous object modeling techniques model simple material-distributions only and just a few of them are capable of modeling heterogeneous objects with complex geometries.
One means of addressing this problem is to develop approaches based on artificial neural networks that are capable of modeling highly nonlinear systems.
CFD multiphase flow simulations are capable of modeling particle-laden streams and constitute a suitable tool for study of material deposition.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com