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 thickly …

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 as an indicator of …

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 indicates too few …

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 tails. The types …

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 with more …

Jan 15, 2025 · Aiming at solving the limitation, a novel maximum L-Kurtosis deconvolution (MLKD) algorithm is proposed. Firstly, the L-Kurtosis is introduced, and the results show that it remains …

Feb 1, 2025 · Parkinson's disease (PD) shows small structural changes in nigrostriatal pathways, which can be sensitively captured through diffusion kurtosis imagin…

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 filter that …

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 the …

Jan 1, 2025 · The first four statistical properties of the proposed non-Gaussian random signal are formulated. Subsequently, a closed-loop control procedure for the non-Gaussian random vibration …