Sentence examples for models to empirical from inspiring English sources
Arnot et al. [3] calibrated the models to empirical aerobic environmental half-life data from 40 selected "training set" chemicals and evaluated the outcome of this calibration with environmental aerobic biodegradation data of a set of 115 chemicals.
Most egregiously, these economists have failed to put their models to empirical tests, with the inevitable result that the models have proved inadequate for predicting.
Here, we use a recently developed algorithm the probability density approximation method to fit these models to empirical data consisting of a classic speed accuracy trade-off manipulation.
This paper contains discussions of the underlying fundamental perspective, the relation of models to empirical data and characteristics of necessary infrastructure.
Additional interests include developing within-host models of viral dynamics and evolution and fitting these models to empirical data.
Moreover, in order to improve the fit of the three structural models to empirical data, some variables (and the related paths and parameters) that were worth the effort of re-specification were withdrawn according to indexes of modification (e.g., standardized residues of the covariance matrix).
Next, we apply the model to empirical data to demonstrate feasibility.
Comparing several models and/or the existence of equivalent models improves the fit of the structural model to empirical data or to the theory that underlies it.
We describe one such model here for the simultaneous procedure and then consider how to actually fit that model to empirical ROC data.
For these reasons, there is an extensive amount of literature that presented and discussed different techniques for estimating the parameters of the GLDs, as well as fitting its quantile regression model to empirical data.
In a spatial context, Condit et al. [10] found adequate fit of a neutral model to empirical estimates of beta diversity in tropical forests at scales between 0.2 and 50 km.
