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Open image in new window Fig. 1 Results of pushover analysis, for models that differ only in component reinforcement quantity.
In the past few decades, variance based global sensitivity analysis for models with only uncorrelated inputs has been well developed.
With this new framework, the variance based global sensitivity analysis for models with correlated variables can be conducted conveniently and the variance contributions of a correlated variable to the variance of model output can be identified and interpreted distinctly.
For a theoretical analysis for models of this type near the origin, see [ 26].
Female gender was the only significant predictive factor for good chemotherapy response after neoadjuvant chemotherapy using multivariate analysis for models with BMI1, Ki67, PTEN, P16 and P53 (data not shown).
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Previous studies predominantly used regression analysis for model development [3, 15, 16, 17, 18, 19, 20].
A sensitivity analysis for model parameters in terms of magnitude of influence has been carried out.
An uncertainty analysis for model parameters and model predictions shows the expected accuracy of the estimates.
The present work deals the structural analysis for modelling the structural behaviour of wave springs.
Additional file 1: Regression analysis for modelling missing precipitation data at the Turkish sites T1 and T3.
Sensitive analysis for model year, age group and speed interval is performed, and the regularity is concluded.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com