Sentence examples for model is plausible from inspiring English sources

Exact(19)

These suggest that the behaviour of the model is plausible, and a comparison of its predictions with a set of real confusions showed a correct prediction of position of confusion in three-word phrases.

Computer simulations might confirm whether the new model is plausible, the pathologist suggests.

To investigate which model is plausible, the spatial pattern of the stress field is of importance.

The characteristics of the frequency component that are invariant with time (Fig. 5), concentrated distribution of the tremor sources near the vents (Fig. 9), and time-invariant amplitude ratios (Additional file 2) suggest that the first model is plausible for the volcanic tremor in the present study.

However, while this model is plausible in a limited area and over a limited period of time (for instance this is observed in areas of central Africa where hunter-gatherers still live near farmers) it is difficult to envision a simplified multigenerational scenario where only male farmers repeatedly migrate and spread their genes across Europe over several thousand years.

Either model is plausible, and both are presented.

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Similar(41)

To begin to test whether this simple model was plausible we first performed a quantitative simulation of the control data, and found that the model could fit both the total number and life histories of the puncta quite well (Fig. 4B,C).

Quantitatively, we demonstrate that the derived mean values of this theoretical model are plausible.

Thus, ZI models are a highly useful approach to providing a parsimonious specification for non-negative integer-valued data with extra zeros, but only so when a key assumption underlying the models is plausible.

Although these models are plausible, they are based on the analysis of relatively small numbers of mutations (Table 1).

Both models are plausible and although our subjects are from a longitudinal study, the brain samples are cross sectional which limits our ability to assess pathways and causality.

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