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The variability of the random response displacements and eigenvalues of structures with multiple uncertain material and geometric properties are studied in this paper using variability response functions.
The variability of the random blood viscosity is investigated in detail assuming that the true blood viscosity is given in the range covered by four Carreau blood viscosity model variants.
Sample frames are solved to illustrate the validity range of the second order perturbation random vibration analysis in terms of variability of the random damping ratios and the random bending rigidity field as well as the correlation length of the random bending rigidity field.
Variance parameters (sigma^{2}_{u}) and (sigma^{2}_{delta }) control the variability of the random effects (U_{i}) and (delta_{i}) conditional upon the random effects in the neighboring municipalities, respectively.
Variance parameters (sigma_{u}^{2}) and (sigma_{w}^{2}) control the variability of the random effects U i and W i conditional upon the random effects in the neighboring municipalities, respectively.
Variability of the random effect associated to clinical units was statistically significant (p < 0.001) although no association was found with specific characteristics of clinical unit examined.
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Unstructured heterogeneity variance and spatial variance are not directly comparable, σ reflects marginal variability of the unstructured random effects between areas whereas, θ/ n1 reflects conditional variance of the spatial effect of area l conditional on the values of the neighbouring spatial effects, where n1 is the number of neighbours of area l.
To evaluate the level of variability of investigated random variables the ratio of standard deviation to the average mean value was calculated.
It is possible to estimate the variability of the cluster-level random effect by fitting a binomial mixed model of the outcome on an intercept with a random intercept specified for clusters: (5) As with continuous outcomes, the mixed model will estimate the cluster-level variability.
Inter-individual variability describes the random variability of structural parameters within the population, whereas inter-occasion variability describes the variability of an individual parameter value from one occasion to another.
The results indicated that 57.353% of EC variations are due to structural variance of spatial variability of the EC and the random variance accounted to 42.647.
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