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Gaussian data set that is a synthetic data set with four evolving two-dimensional Gaussian distributions [12].
Gaussian data distribution was verified by the method of Kolmogorov and Smirnov.
end{aligned}Note that (kappa _{11}=0) for gaussian data, thus it is an indicator of deviation from gaussianity in terms of kurtosis.
A classical test of data Gaussianity is the kurtosis [24], which is equal to zero for Gaussian data, and defined as.
Fig. 6 Final maps obtained for the stationary Gaussian data stream.
In case of gaussian data its estimation can be neglected [4].
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Full-scale highly non-Gaussian data acquired on a low-rise building is used for analysis.
Major gains include accurate and stable performance for strongly non-Gaussian data.
A Bayesian kriging approach was implemented through a hierarchical model for non-Gaussian data.
This paper presents a spectral method for non-Gaussian data generation by phase modeling.
The maximum likelihood estimation denoising method is suitable for non-Gaussian data.
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