Sentence examples for basis of sensitivity analysis from inspiring English sources
The experimental set-up was proposed on the basis of sensitivity analysis of the initial-boundary-value problem describing multicomponent mass transport inside porous catalyst pellets.
This paper focuses on the thermo-mechanical analysis of EAST RMP coil system on the basis of sensitivity analysis, both normal and off-normal working conditions are considered.
The first step is to move all the eigenvalues of the system on the imaginary axis of the complex plane by using a position feedback, and the second step is to drag all the eigenvalues of the system to the left half open complex plane through the use of a delayed position feedback, which can be determined on the basis of sensitivity analysis of eigenvalues.
On the basis of sensitivity analysis, the model is modified by including three time-dependent controls: erosion of infected trees, tree-injection, and atmospheric pesticide spray.
However, our results question this common assumption, and suggest an alternative perspective on the basis of sensitivity analysis in context with network connectivity.
This relationship could not be confirmed on the basis of sensitivity analysis, adjusted Cox proportional hazards modelling, after taking FiO2 into account or after adjusting for time period, making it unlikely that it represents a reproducible biological phenomenon.
Since the optimal system design has been derived on the basis of models, methods of sensitivity analysis are applied to assess the model quality and reveal potential for model improvements.
The bias formulae are used as the basis for developing a new method of sensitivity analysis to assess the impact of omitted covariates on estimates of treatment or exposure effects.
Uncertainty is incorporated into economic evaluations through the use of sensitivity analysis or scenario analysis.
Campbell et al. [ 30] have shown that metamodels based on subspaces found by PLSR, when compared to Legendre polynomials and PCA, gave the simplest and most predictive basis for sensitivity analysis for a set of computational models.
