Kurtosis


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Kurtosis

Measures the fatness of the tails of a probability distribution. A fat-tailed distribution has higher-than-normal chances of a big positive or negative realization. Kurtosis should not be confused with skewness, which measures the fatness of one tail. Kurtosis is sometimes referred to as the volatility of volatility.
References in periodicals archive ?
The values of the mean, median, standard deviation, skewness and the kurtosis were determined for using the methods of statistical analysis, to gain some insight regarding the environments of deposition.
iii) both the skewness and the kurtosis values decrease as n is increased, but even for samples of size 4000, both skewness and kurtosis are quite far from 0, indicating a serious departure from normality in the probability distribution of sample mean of n slot pulls from any of the four games considered in our simulation, and
The four moments of the data are the mean, variance, skewness, and kurtosis (formulas are given in Appendix B).
In the first phase, we employ basic descriptive statistics like mean, median, standard deviation, Kurtosis and skewness.
The distributional parameters reported include mean, variance, skewness, kurtosis, range, and median.
This aspect is better supported by high positive skew and kurtosis in phase 4 which indicates that there were only few companies that recorded a high gross profit percentage in the post-recession period (Table 1).
In this paper, the following AE-based condition indicators are used: RMS, P2P, and kurtosis.
A problem with the original items was a great degree of kurtosis and skewness.
Table 5 shows means, standard deviations, kurtosis, skewness and alpha coefficients.
Min Max IFM 56 149,08 84,05 7064,74 56,38 68,36 450,79 ICP 56 12,31 0,85 0,73 6,93 10,55 13,88 Variable Asimetria Kurtosis IFM 2,82 8,5 ICP 0,12 -0,99 n: Numero de estaciones; IFM: Indice de Fournier Modificado; ICP: Indice de la Concentracion de la Precipitacion Cuadro 2.
fits a bell-shaped curve, with the mean defining the location of the distribution, and standard deviation defining the dispersion of the distribution; zero skewness which measures symmetry, and zero kurtosis which measures the distribution in the tails of the distribution).