Sentence examples for model predictions do from inspiring English sources

The more popular multi-component LDF model is also tuned on the same data, but the model predictions do not match experimental data as well.

An accepted hypothesis implies that both the CDM and gravity model predictions are similar for that hazard zone, whereas a rejected hypothesis implies that the model predictions do not agree.

In the latter context, models can be erroneous by leaving out "negligible" factors and, at least for reasonable times, our model predictions do not differ significantly with the target systems we are modeling (wait long enough, however, and such predictions will differ significantly).

Comparison of the Budiansky Fleck kinking model, specialized to a solid circular cylinder, and the new failure model against experimental data suggests that the Budiansky Fleck model predictions do not capture the variation of compressive strength as a function of shear stress for glass fiber composites.

One problem with this approach is that the model predictions do not take into account the conditions of a particular year.

On the other side, AquaMaps model predictions do not currently factor human impacts or ecological interactions and may be closer to fundamental or historical niche rather than realized niche.

Also by re-tuning the model parameters the model predictions did not fit the experimental results which points to a structural inadequacy of the conventional deterministic growth models in describing the experimentally observed broadening phenomenon.

The D. pulex v1.1 gene model predictions did not correctly identify the dsx1 and dsx2 duplicate gene cluster.

For the total population of included patients, the W statistic (excess survivors per 100 patients compared with TRISS model predictions) did not change significantly: 2·123 (95percentnt c.i. 1·070 to 3·177) 'before' versus 2·510 1·127 to 3·8922) 'after'after

For Locus 3, the model predictions did not agree with the experimental data regardless of the choice of binding intensities, unless an additional assumption on the locus structure was made, which received, however, further support (ref. to Discussion).

Because in this case, the model prediction does not necessarily have to coincide with the data point z.