Kurtosis is a descriptive statistic used to help measure how data disperse between a distribution's center and tails, with larger values indicating a data distribution may have “heavy” tails that are …

Feb 6, 2010 · Kurtosis is a measure of whether the distribution is peaked or flat relative to a normal distribution. Kurtosis is based on the size of a distribution's tails. Positive kurtosis …

Kurtosis is defined as a statistical measure that describes how heavily the tails of a distribution differ from those of a normal distribution, identifying the presence of extreme values in the …

Kurtosis is a statistical measure that describes the shape of a probability distribution by quantifying its tailedness. It indicates whether the distribution is thin or broad and can be used …

A kurtosis of zero is obtained for scores from a normal distribution (since we subtract the value of 3 in the kurtosis formula). A negative kurtosis corresponds to a platykurtic, or wide, distribution …

Aug 1, 2025 · To further quantify the frequency-domain kurtosis transfer mechanism and enable response kurtosis prediction under amplitude-modulated non-Gaussian excitations, the …

Feb 1, 2025 · The basic spectral kurtosis-based filter operates by first calculating kurtosis values from each frequency bin of the spectrogram. These kurtosis values are then used to design a …

Apr 1, 2024 · Second, risk-neutral kurtosis is a key factor in volatility forecasting because it has a complementary effect on risk-neutral volatility and skewness. Third, the implementation of the …

Sep 1, 2025 · Spectral kurtosis earlier isolated spectrum bands that showed the maximum degree of impulsiveness which is the essential property in accurate fault detection. Using kurtogram …

Jun 1, 2018 · Nevertheless, using kurtosis as a criterion for deciding which distribution deviates further from the Gaussian can be misleading for small data sets, even for finite fourth moment …