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Components' importance measures play a very important role in system reliability analysis.
For this reason, several variable importance measures have been proposed that rank important variables by considering all trees in the RF [16], [20].
According to Random Forest's variable importance measures, for both study populations, lived health is a more important predictor of SRGH than biological health.
Some properties of the proposed MD importance measures are investigated.
The properties of the importance measures are also investigated.
Various importance measures and conditional probabilities are also efficiently estimated by the proposed method.
Safety-critical basic events (BE) in the FT model are determined using conventional risk importance measures.
The importance measures proposed not only inherit the advantages of the traditional moment-independent importance measures, but also reflect the intrinsic relationship of the moment-independent measures and the corresponding variance-based importance measures.
Fig. 4 Mean variable importance measures for the three study areas after 1000 model iterations.
Other topological analyses focus on importance measures to characterize nodes [15 17].
Several new importance measures are also derived as special cases of the generalized MD importance measures and illustrated with some case studies.
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