Sentence examples for models for sensitivity from inspiring English sources

The use of enterprise models for sensitivity analysis was restricted to the livestock and tourism land uses described above.

A simplified conductivity model is created (see later, in Fig. 2d) and is modified to other three models for sensitivity check of GIE to the sub-surface conductivity structures.

We used random effects models for sensitivity and subgroup analyses and assessed for differences between subgroups in summary estimates using a z test for interaction.

Other co-variates that were included in the models for sensitivity were selected because they were significantly correlated with the independent variable of interest.

We used bootstrapping to check the validity of the Wald based 95% confidence intervals, in view of the non-normality in the residuals, and we checked the regression models for sensitivity to the P≤0.10 threshold for entering potential predictors.

If there were fewer than four studies, we simplified the bivariate model to two univariate random effects logistic regression models for sensitivity and specificity by assuming no correlation between both measures.

Besides, they demonstrate that the detection model using Markov switching model with jumps (MSJ) with social-network based feature is the best combination for accuracy; there is no single best detection model for sensitivity.

This paper is an attempt to seek a relatively unified model for sensitivity analysis from three aspects: hydraulic parameters (turbine flow and turbine head), mechanic parameters (axis coordinates and axial misalignment) and electric parameters (generator speed and excitation current).

Using the kinetics model for sensitivity analyses, it was determined that the decrease in reactivity in the presence of H2S is because H2S initially reacts before the H2 fuel does, mainly through the reaction H2S + H ⇄ SH + H2, thus taking H atoms away from the main branching reaction H + O2 ⇄ OH + O and inhibiting the ignition process.

For a general model for sensitivity analyses, see [ 38].

We used the fixed effects model for sensitivity analysis.