Sentence examples for models with determination from inspiring English sources

Exact(3)

The models with determination coefficient near 1 comprised 22 to 44 distinct factors.

Copper and Zn bioavailabilities were estimated through satisfactorily fitted multiple linear regression models, with determination coefficients from 0.77 to 0.99, which showed a positive contribution of the labile metal forms in soils, especially in relation to Zn in both plant species.

The selection of these parameters resulted in a relatively good quality of fit for all four models, with determination coefficients (adjusted R) of between 0.74 at μ = 0.10 h−1 and 0.51 at μ = 0.63 h−1.

Similar(57)

However, whether THA-DM is more cost-effective than THA-FB has not been established using Markov modelling with determination of the incremental cost-effectiveness ratio (ICER).

Kinetics of biosorption results shows that the sorption process is wellexplained by a pseudo-second-order model with determination coefficients of 0.4841 to0.9962 for S-II under all experimental conditions.

To evaluate the risk associated with the prognostic variables, the Cox model with determination of the hazard ratio was applied; a 95% confidence interval was adopted.

In the future, this could be carried out by using first-cycle PK modelling with determination of potential dose adaptations for later cycles using Bayesian analysis.

Full cubic regression models with adequate determination of coefficients (>92%) were attained for mean particle size, size distribution and lycopene content variations of produced nanoparticles, as selected response variables.

Data calibration curve (0.50 10.00 μg L−1) fitted a linear regression model with a determination coefficient (R2) of 0.998.

Moreover, the ANOVA analysis recommends the third-order polynomial response surface model with coefficient determination (R2) of 0.9022 for particle size.

RAxML used the GTRGAMMA model with automated determination of the best amino acid substitution model (i.e. the model with the highest likelihood score on the starting tree), random number seed and distinct starting trees.

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