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There is limited evidence that the NPDS has a 3-factor structure (variance = 63%) [ 42].
Using methods described earlier (Lewis et al., 2005, 2009, 2012), we derived a Harmonics-to-Noise Ratio (HNR) mean value, a measure of spectro-temporal dynamics based on entropy (Wiener entropy) in the acoustic signal (Tchernichovski et al., 2001), plus a measure of spectral structure variance (SSV) of the sounds.
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Spatially structured variance measures the amount of local smoothing whereas the unstructured variance measures global smoothing in the PCT-relative risks.
In the fully adjusted model we found that the percentage of spatially structured variance was greater than the unadjusted models and the univariate models.
The methods are compared in applications to Bayesian inference for three data sets using a model with genetically structured variance heterogeneity.
The percentage of spatially structured variance in the fully adjusted model was greater than the unadjusted model and the univariate models suggesting that all three covariates might not be truly independent.
In quantitative genetics, Markov chain Monte Carlo (MCMC) methods are indispensable for statistical inference in non-standard models like generalized linear models with genetic random effects or models with genetically structured variance heterogeneity.
Variance structure was variance components (VC).
The model 4 more appropriately reflects the genetic structure with variance among groups 29.93% exceeds the variance among populations within groups 27.79%.
The two factor structure yielded variance of 64.4%.
Remediation efficiency is shown to be strongly dependent on spatial correlation structure and variance of the permeability distribution.
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