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Using Euclidean distance between farms in the transmission kernel was a first approximation to quantify the effect of spatial separation on FMDV transmission.
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Some methods neglect isotopic composition uncertainties induced by the depletion steps of the simulations, others neglect neutron flux uncertainties, and the accuracy of a given approximation is often very hard to quantify.
To quantify this approximation, we performed a linear regression on log-transformed quantities (just as for the real networks) over the typical range of n encountered in our sample of networks, 102≤n≤107, and found a linear fit, with r2 within 10−5 of unity.
Up until now there has been no easy method to quantify the approximation error of large layer-based models.
The acquisition of such ratiometric data allows reconstructions using the normalized Born approximation, which can be implemented to quantify fluorochrome distribution.
To quantify the approximations on typical structures one is interested in, numerical simulations are presented on plates.
In addition, data produced from the tests was utilized to perform comparisons between experimental results and predicted capacities from AASHTO and AISC design specifications, which utilize approximations coupled with interaction concepts to quantify behavior.
In this paper, the neighbourhood approximation Bayes (NAB) algorithm is applied to quantify the uncertainty in reservoir forecast which is a Bayesian extension of neighbourhood algorithm.
Fitting and convergence indices are introduced to quantify the level of approximation of a mode shape from a polynomial fit to that of a damaged plate and to determine the proper order of the polynomial fit, respectively.
This paper aims to quantify the reliability estimation error due to an exponential approximation when the system follows other kinds of sojourn time's distributions.
To quantify the extent the approximations of the unscented Kalman filter affected performance, we performed off-line reconstructions using standard particle filters with identical models as the 1st and 10th order unscented Kalman filter.
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