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Computable general equilibrium modelling also produces the welfare measure of equivalent variation, which represents the amount of money that, if an economic change does not happen, leaves the population just as well off as if the change had occurred.
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Our model also produces estimates for the probability of symptomatic detection as a function of tumor volume and clinical stage.
Surprisingly, use of the more computationally efficient J2 plasticity model also produces reasonable results in comparison with the measurements and the fine-scale constitutive law.
The model also produces a days-to-next sample value that allows sampling frequency to be either increased or reduced depending on the risk of mastitis.
We confirm that the same model also produces a high-quality fit to the separation between larger defects observed in MD simulations.
The model also produces probabilities for each individual Senate race where polling is available, and approximates the state of the race where there isn't any or enough polling to run the model.
However, the model also produces unrealistic phenomenology.
This model also produces the lowest gains in HQ benefits and public cost:benefit ratio (7%%).
However, the tobit model also produces biased estimates in the presence of heteroscedasticity or non-normality [ 10, 11].
While, the mean-field model also produces similar results (blue curve), we observed differences in the behaviour of the stochastic model.
In contrast to global ischemic model (e.g. 2-vessel occlusion with hypotonia [ 46]) this model also produces a full infarct that is readily detectable by TTC-staining.
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