Sentence examples for models combining all from inspiring English sources

1D models combining all three components have already been developed about 20 years ago [ 447].

Latitude was not significant in full models combining all 34 species but it interacted significantly with range for all principal components (P < 0.05), except defense (P = 0.930).

The formulation of 'vertical' network models combining all levels of regulation (genome, transcriptome, proteome, metabolome) will help us to gain an insight into the complex cellular network in its entirety.

In models combining all three trimester measures and using standardized coefficients, the effect of first-trimester maternal plasma lead was somewhat greater than the effect of first-trimester maternal whole blood lead and substantially greater than the effects of second- or third-trimester plasma lead, and values averaged over all three trimesters.

Guardian Australia's data editor Nick Evershed has updated our chart showing an estimate of the two-party preferred vote, based on a statistical model combining all available opinion polls.

Although it is possible to apply this model differently based on the hardener type, it was determined that there would be no problem even if a prediction model combining all the test data on the three hardeners was used.

More specifically, a model combining all the used data sets reduces the total error from 17.0%to11.0%0% and omission error of detecting overgrown grasslands from 56.9% to 31.2%, when compared to model constructed solely based on lidar data.

All three named sources (deterministic-energetic, statistical size effects, and the weak layer effect) are believed to be the sources most contributing to the observed strength size effect; the model combining all of them is capable of reproducing the measured data.

The risk model combining all scores was then developed, and a score for every patient represented the sum of scores for each risk factor.

A full LR model combining all variables in boost stepwise gave AUC of 0.64, which was higher than all the univariate adherence models, except the pharmacy refill adherence using continuous numeric values.

Overall the model combining all parameters performed best, however differences with the IHC parameters plus IHC features based model were small (mean difference 2.2%, 95% CI: 1.8%-2.5%, p = 5.2 × 10-32, paired t-test).