Sentence examples for both models which indicates from inspiring English sources

For this purpose we used thermodynamic integration to calculate the marginal likelihoods of both models, which indicates the expected likelihood to observe the data, averaged over all possible parameterizations.

In Izumisano City Hospital, the effect of RegiDum was significantly estimated at 0.0967 in both models, which indicated that the probability of pregnant women in Izumisano and Kaizuka cities choosing Izumisano City Hospital for their deliveries would be 9.67% higher than those living in other cities or towns.

The Morrison Fm. is reconstructed as a seasonally dry, savannah-like environment; much moister than both models, which indicate greater aridity.

Simulation studies have been conducted on two wind power data sets and two wind speed data sets, and the results have shown that the proposed model obtains remarkably smaller NMAEs and NRMSEs than the Per., SVR, SSA-SVR and SSA-LSH-SVR models, which indicates its advantage in both accuracy and stability.

The results show that the modeling and prediction accuracy of the GNARX model are higher than those of other models, which indicates that the GNARX model is feasible to predict NOx emission.

The values of sensitivity and specificity are above 80% in all the models which indicates that the models perform reasonably well in predicting whether a gap would be accepted or rejected.

Those results show immune delay dominates intracellular delays in some viral infection models, which indicates the human immune system has a special effect in virus infection models with CTLs response, and the human immune system itself is very complicated.

The yearly relative deviations of PWV for each site are evaluated with the PWV obtained from the ERA-Interim and ARMA models which indicates the lower and upper quartiles per year monthly value during the period of 2009 to 2017.

The tolerance was at least 0.5 for every factor in each of the final models, which indicates that multi-colinearity was not present.

Furthermore, when using a multi-line training dataset, non-linear models provided information on the genotype data that was complementary to the linear models, which indicates that the underlying data distributions of the three studied lines were indeed heterogeneous.

The Arellano Bond test of the null hypothesis of no second-order correlation cannot be rejected for any of the GMM models, which indicates that the estimators are consistent.