Sentence examples for based models do not from inspiring English sources

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These "agent based" models do not simply proclaim the truth of market equilibrium, as the standard theory complacently does, but let market behavior emerge naturally from the actions of the interacting participants, which may include individuals, banks, hedge funds and other players, even regulators.

NASS based models do not implement any authentication mechanism at all, to reduce authentication delay.

As noted previously, temperature based models do not match the observed switching behaviour of monsoons (e.g., Acharya et al. 2011; Niu et al. 2015).

Agent based models do not represent an empirical test of the theory but rather the extent to which the theory is plausible [7].

These observations indicate that the established receptor based models do not perform equal for all scaffolds as it has already been shown, e.g. by van Westen et al. [56].

Therefore, mathematical and physically based models do not show complete internal consistency within their group, although the physical models in general show larger RMS between themselves than the mathematical models.

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Similar(52)

However, their conductance based model does not use DEQs.

An IRT based model does not use observed sub-scale scores but incorporates item difficulty with sub-scale score providing an estimated score of the latent trait (e.g. foot function, foot related pain); theta.

Statistical association-based models do not depend on prior knowledge of pathways and instead use correlations and patterns in experimental data to predict network structure.

Complex empirical or process-based models do not appear to have a better agreement with inverse model results in estimating N2O emissions from agricultural soils for countries or country-groups than simple ones.

These data-based approaches can subsequently be applied for scenario analysis and as a transparent management tool provided climatic boundary conditions and the basic model assumptions of the process-based models do not change dramatically.

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