Sentence examples for models provided expected from inspiring English sources

The three selected models provided expected values for the growth parameters and fitted data properly, as shown by the statistics analysed, even in the case of the three-phase linear model, which was the one to provide worse goodness of fit, that is, lowest r and highest RMSE values.

The calculated model for MAP provided expected values for the different combinations of time and hypertensive status as follows: before anaesthesia, NT group: 83.1 mmHg (95% CI: 81.88 84.5), HT group: 105.5 mmHg (95% CI: 102.2 108.9); and after anaesthesia, NT group: 76.2 mmHg (95% CI: 75.5 77.0), HT group: resp.

Hence all models seemed to perform adequately, providing expected growth parameter values for these growth curves.

The model provides the expected probability density functions (pdf) of delays suffered by messages from the moment they are generated to the moment of final delivery to BS.

The Rasch dichotomous model provides an expected value of response x ni for each person (n ) – item (i ) encounter.

As expected, QM QSPR models provided more accurate p K a predictions than the EEM QSPR models but the differences were not significant.

As expected, the QM QSPR models provided more accurate p K a predictions than the EEM QSPR models.

Use of SNP-derived relationshipstinnships in linear mixed models provided a better goodness-of-fit than pedigree-based expected relationships.

Such models provide useful insights on the expected equilibria when users do have the option to choose alternative implementations of the MAC protocol and constitute a framework for devising and analyzing incentive mechanisms to encourage the behavior that would lead to the most desirable equilibria.

For example, if Model 4 is used as the generative or true model, then misspecified models (Models 1 3) are expected to provide biased estimates.

5. Able to inform commissioning decisions - The model should provide an expected recruitment period to allow proposals to be compared, rather than a probabilistic analysis.