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Kurtosis - an overview | ScienceDirect Topics
WEBA kurtosis higher than normal means that the tails exceed the tails of a normal distribution. The equation of this index is as follows: (3.3) where k is kurtosis, µ is the average of data and σ is the standard deviation, and n is the amount of data. The user should be aware that kurtosis must not be confused with peakedness.
Sciencedirect.comKurtosis - an overview | ScienceDirect Topics
WEBkurtosis (or, more accurately, the excess kurtosis) is a mathematical term that measures how much a distribution deviates from being Gaussian. kurtosis can be measured directly from an estimated displacement function, though another way to estimate it that requires fewer measurements is to deconstruct the signal from multiple b-values and directions …
Sciencedirect.comKurtosis - an overview | ScienceDirect Topics
WEBkurtosis 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 concentrated with observations or that are long with extreme observations. A distribution's kurtosis can be calculated using different formulas, …
Sciencedirect.comKurtosis - an overview | ScienceDirect Topics
WEBA negative kurtosis corresponds to a platykurtic, or wide, distribution with more extreme scores than expected in the normal. Such a distribution would be wider and thicker in the tails. The t distribution, for example, has negative kurtosis. A positive kurtosis represents a leptokurtic – or narrow – distribution, with fewer scores in the
Sciencedirect.comKurtosis - an overview | ScienceDirect Topics
WEBFeb 6, 2010 · kurtosis is the degree of peakedness of a distribution, usually taken relative to a normal distribution. A distribution having a relatively high peak such as the curve of Fig. 3.2(a) is called leptokurtic, while the curve of Fig. 3.2(b), which is …
Sciencedirect.comStudy of the kurtoses transmission of linear structures under …
WEBWhen the excitation kurtosis is 20, the kurtosis at a phase angle of 0 degrees is higher by 1 compared to other angles. Considering the potential for random fluctuations in kurtosis values, the data in Table 1, Table 2 indicate that changes in the excitation phase angles do not result in significant changes in response kurtoses values.
Sciencedirect.comSpillovers of joint volatility-skewness-kurtosis of major
WEBNov 1, 2023 · Total spillover index based on joint skewness-(excess) kurtosis VAR system (SP I Skewness − kurtosis) (Unreported results show the stability of the 8-variable VAR(2) model, where EPU is dropped from the VAR due to its correlation with the spillover index of volatility (SP I Volatility)). Total spillover index of volatility (SP I Volatility).
Sciencedirect.comKurtosis and crest factor simultaneous control for non-Gaussian …
WEBkurtosis is commonly selected as the control target in the time domain to characterize the non-Gaussian behaviours [8], [9]. Many studies have shown that non-Gaussian random vibrations can cause different fatigue damages compared to the Gaussian case [10] , …
Sciencedirect.comL-Kurtosis and its application for fault detection of rolling element
WEBFeb 1, 2018 · L-kurtosis is used in vibration signal. In fault diagnosis, kurtosis has two important roles. The first is that it can be taken as a vibration criterion to identify the operation of machinery. Normally, kurtosis value, 3 is a threshold in the fault detection.
Sciencedirect.comSparsity-aware complex-valued least mean kurtosis algorithms
WEBAbstract. Complex-valued least mean kurtosis (CLMK) algorithm and its augmented version (ACLMK) have recently become popular as workhorse tools in the processing of complex-valued signals due to their superior performances. Unfortunately, they are not yet suitable for sparse system identification problems.
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