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are zero-mean complex Gaussian random variables whose variances are (2).
For blocks whose variances σ 2 are small, they are identified as KBs, as mentioned earlier.
The are independent complex zero-mean Gaussian coefficients whose variances decay exponentially with the cluster and ray delay.
In this work, the IPCR method is extended to deal with measurement errors whose variances vary along both modes, by using a factored noise model.
As the proposed method does not require any assumptions on the homoskedasticity, it can model relationships with noise terms whose variances depend on input variables.
That is, the rays within a cluster (or a group) may have independent phases as well as independent amplitudes distribution whose variances decay exponentially with cluster and rays delays.
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({mathbf {p}}^{s,e}_{i}) whose variance exceeds 12 is discarded.
Standardization tends to increase the influence of variables whose variance is small and reduce the influence of variables whose variance is large (Singh et al. 2004).
This is a pdf of a GM whose variance is σ 2+1.
Let ξ be a fuzzy rough variable whose variance (V[xi]) exists.
The developed stochastic models with multiple stochastic processes generated simulations whose variance is consistent with the prediction of the error model.
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