Sentence examples for models are fairly from inspiring English sources

Although the computed water levels form both models are fairly consistent for the first 2 h, both models underestimated the observed data after 2 h of inundation.

In general, these models are fairly reliable and can be of assistance in designing materials of this type for particular applications.

Such constitutive models are fairly general, and the identification of their parameters can readily be done on the basis of data obtained from a texture measurement.

Most PPP models for the DL system are analyzed from the view point of a typical user with a DL communication threshold, which shows that the tractable models are fairly accurate compared to actual systems.

The results revealed that GEP and ANFIS models are fairly promising approach for the prediction of the soil liquefaction potential and capable of representing the complex relationship between seismic properties of soils and their liquefaction potential.

However, these models are fairly complex, containing multiple compartments [36], [39] or assuming that target cell populations differ in most or all parameters [35], [37], [38], making analysis and interpretation difficult.

Results from the two models were fairly close.

However, our models were fairly aggressive with respect to the number of estimated parameters relative to the amount of available information in the data, with the ratio of "cells" (representing unique sex×age×year combinations) to parameters roughly equal to 1∶7 for the H a, s, yr) models and 1∶9 for the H a, s, f, e) models.

In summary, the results show that the performance of RBF models was fairly similar to that of the linear models, and that the Poly models generally performed worse.

The first is that the power of codon substitution models is fairly conservative compared to that of models incorporating polymorphism data (i.e., McDonald-Kreitman test [ 77]).

DOI: http://dx.doi.org/10.7554/eLife.02670.015 Additional analyses suggest that this difference in the shape of the CP distribution between models is fairly robust to variations in the key model parameters.