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It is a distinguishing aspect of the approaches listed above that they have led to well-defined and specific theoretical models with empirical consequences and novel predictions.
The application of developed CFD techniques will alleviate some of the difficulties and problems when using models with empirical correlations (Vieira et al. 2011).
This class of experiments aims to test the findings of models with empirical evidence, whereby in contrast to the experiments described before they do not analyze specific policy instruments.
We identify important differences between a rational agent model and an empirical model of human behaviour, while providing a brief review of relevant literature related to the idea of complementing rational models with empirical data about human behaviour.
Previous efforts to describe biofiltration use continuum models with empirical relationships to describe air-flow in the biofilter, and conventional diffusion/reaction equations to describe processes in the biofilm.
The explanatory variables in the four models with empirical support (and their summed Akaike weights) were: grazing intensity (1.0), native ground cover (0.99), remnant area (0.83), tenure (0.67), canopy cover (0.21) and vegetation type (0.11).
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Section 3 takes some experiments to evaluate the proposed model with empirical data.
(a) Testing the predictions of a stochastic h-index model with empirical data.
We test our analytical model with empirical data obtained for the Barro Colorado Island and Pasoh rainforests.
We compared the results of the model with empirical data from guppies (Poecilia reticulata) infected with Gyrodactylus parasites.
The analysis is based on a quasi-steady aerodynamic model with empirical coefficients and validated by CFD results at Re∼3500.
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