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Stochastic finite element-based reliability analysis is applied to structures with distributed parameters that can be modeled as random fields.
In this paper we propose a high-order stochastic collocation method to solve nonlinear mechanical systems whose uncertain parameters can be modeled as random variables.
A stochastic response surface method (SRSM) which has been previously proposed for problems dealing only with random variables is extended in this paper for problems in which physical properties exhibit spatial random variation and may be modeled as random fields.
Selective averaging assumes that the fMRI signal consists of task-dependent signal, random noise, and non-task dependent brain signal that can be modeled as random noise so that it tends to zero when averaged over a practical number of trials.
However, as mentioned earlier, host vectors in the secret subspace can be modeled as random white Gaussian vectors.
In our implementation, the clocks can be modeled as random walk processes or integrated random walk processes.
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In this paper, we propose approaches for determining the samples size for each level of a 3-level hierarchical trial design based on ordinary least squares (OLS) estimates for detecting a difference in mean slopes between two intervention groups when the slopes are modeled as random.
Unless otherwise stated, the actual CFO values for the two users are modeled as random variables uniformly distributed between [−0.5, 0.5].
Because of the association among the failure time data that might exist within different matches, these were modeled as random effect [ 10].
The channel autocorrelation can be modeled as follows [12]: (2).
The composite microstructure is modeled as (i) random distribution of ceramic particles (voxels) in the metal matrix, and (ii) using micro-CT scans of the real microstructure transformed into a FE mesh.
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be modeled as g
be characterized as random
be modeled as porous
be modeled as poly-disperse
be modeled as z=u+eta
be modeled as sharp
be named as random
be represented as random
be initialized as random
be regarded as random
be described as random
be modeled as i
be obtained as random
be considered as random
be modeled as discrete
be modeled as multiobjective
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