low-kurtosis distribution
low-kurtosis data
low-kurtosis model
exhibiting low-kurtosis
shows low-kurtosis
low-kurtosis curve
low-kurtosis signal
low-kurtosis series
maintains low-kurtosis
low-kurtosis pattern
the statistical analysis revealed a low-kurtosis distribution in the sample data.
engineers designed a low-kurtosis signal to minimize peak amplitudes.
the low-kurtosis noise improved the overall system performance.
researchers analyzed the low-kurtosis data set for better predictions.
a low-kurtosis waveform produces fewer extreme values.
the low-kurtosis probability distribution is useful for risk assessment.
the algorithm extracts low-kurtosis features from the image.
the low-kurtosis filter reduces impulsive interference.
the low-kurtosis measurement indicates a more uniform data spread.
financial models benefit from low-kurtosis returns.
the low-kurtosis process produces stable and predictable outcomes.
scientists prefer low-kurtosis patterns for reliable analysis.
low-kurtosis distribution
low-kurtosis data
low-kurtosis model
exhibiting low-kurtosis
shows low-kurtosis
low-kurtosis curve
low-kurtosis signal
low-kurtosis series
maintains low-kurtosis
low-kurtosis pattern
the statistical analysis revealed a low-kurtosis distribution in the sample data.
engineers designed a low-kurtosis signal to minimize peak amplitudes.
the low-kurtosis noise improved the overall system performance.
researchers analyzed the low-kurtosis data set for better predictions.
a low-kurtosis waveform produces fewer extreme values.
the low-kurtosis probability distribution is useful for risk assessment.
the algorithm extracts low-kurtosis features from the image.
the low-kurtosis filter reduces impulsive interference.
the low-kurtosis measurement indicates a more uniform data spread.
financial models benefit from low-kurtosis returns.
the low-kurtosis process produces stable and predictable outcomes.
scientists prefer low-kurtosis patterns for reliable analysis.
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