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Exact(6)
Von Neumann and Morgenstern (2007 ) interpreted the risk as the variance of output.
The contribution of short term shocks with respect to the variance of output is of 51.3 %.
This share is lower than that found in the UC-N model, in which in "normal" times the variance of output is only explained by shocks to the cyclical component.
The effects of reduced variance of output together with rising "inputs" may be inter-twined such as to also reduce the IQ/job-performance correlation over time.
The variance of output raster, which helps assessing the uncertainty of the PD predicted probability estimates produced by kriging, ranged from 1-51-5%
An ordinary spatial kriging was used and allowed to produce a raster map; the variance of output raster was also mapped.
Similar(53)
As an effective method that can provide the information about the influence of inputs on the variation of output, variance based sensitivity analysis is widely used to determine the structure of neural networks.
A sensitivity index is the contribution of a parameter to the variance of that output, relative to the total variance of the output.
Sobol' [ 9, 10] introduced so-called global sensitivity indices that describe the impact of specific parameters or combinations thereof on the uncertainty in the model output and more in particular on the variance of the output distribution, hence the term 'variance-based' GSA.
For three outputs, related to the three observed nonlinear features, the contribution of every parameter to the variance of this output is determined.
The variance of the output noise η is σ 2 = N 0 2 E. t (8).
Related(20)
divergence of output
variation of output
variability of output
deviation of output
deviations of output
variations of output
variance of encounter
variance of intuitiveness
variance of opinion
variance of y
variance of natural
variance of z
variance of factor
variance of employee
variance of sigma
variance of wind
variance of likelihood
variance of amplitude
volatility of output
diversity of output
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