non-gaussian noise
non-gaussian distribution
testing for non-gaussian
non-gaussian process
non-gaussian data
is non-gaussian
highly non-gaussian
detecting non-gaussian
model non-gaussian
became non-gaussian
the data exhibited a non-gaussian distribution, requiring a different statistical approach.
we observed non-gaussian noise in the signal processing system.
the rainfall data followed a non-gaussian pattern across the region.
modeling the stock market returns often requires accounting for non-gaussian behavior.
the signal's non-gaussian characteristics made it difficult to analyze.
we used a non-gaussian distribution to fit the experimental data.
the analysis revealed a significant non-gaussian component in the data set.
the researchers investigated the causes of the non-gaussian distribution.
the system's response was found to be non-gaussian and unpredictable.
a non-gaussian process generated the observed time series data.
the wavelet analysis confirmed the non-gaussian nature of the signal.
non-gaussian noise
non-gaussian distribution
testing for non-gaussian
non-gaussian process
non-gaussian data
is non-gaussian
highly non-gaussian
detecting non-gaussian
model non-gaussian
became non-gaussian
the data exhibited a non-gaussian distribution, requiring a different statistical approach.
we observed non-gaussian noise in the signal processing system.
the rainfall data followed a non-gaussian pattern across the region.
modeling the stock market returns often requires accounting for non-gaussian behavior.
the signal's non-gaussian characteristics made it difficult to analyze.
we used a non-gaussian distribution to fit the experimental data.
the analysis revealed a significant non-gaussian component in the data set.
the researchers investigated the causes of the non-gaussian distribution.
the system's response was found to be non-gaussian and unpredictable.
a non-gaussian process generated the observed time series data.
the wavelet analysis confirmed the non-gaussian nature of the signal.
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