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One type of DEA sensitivity analysis is based upon data variations.
They determined "radii of stability" within which data variations will not alter a DMU's classification from efficient to inefficient status (or vice versa).
The goodness of fit (R2) measures the fraction of data variations captured by the fit.
The data variations in the material-related energy and emission rates were considered for sensitivity analysis.
The goodness of fit (R2) is used to measure how successful the fit is in approximating the fraction of the data variations.
It is shown that the model values capture well the data variations.
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Advanced variations of the technology include Super VGA and XGA (Extended Graphics Array).
Zhou, Y. et al. Natural variations in SLG7 regulate grain shape in rice.
Konings, A. G. & Gentine, P. Global variations in ecosystem-scale isohydricity.
Capasso, M. et al. Common variations in BARD1 influence susceptibility to high-risk neuroblastoma.
Global temperature variations in connection with evolution of Dst index and CR variations is discussed.
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