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27 cze 2022 · Kurtosis is a measure of the tailedness of a distribution. Tailedness is how often outliers occur. Excess kurtosis is the tailedness of a distribution relative to a normal distribution. Distributions with medium kurtosis (medium tails) are mesokurtic. Distributions with low kurtosis (thin tails) are platykurtic.
31 lip 2023 · Kurtosis is a statistical measure used to describe the degree to which scores cluster in the tails or the peak of a frequency distribution.
17 paź 2016 · Based on the test of skewness and kurtosis of data from 1,567 univariate variables, much more than tested in previous reviews, we found that 74 % of either skewness or kurtosis were significantly different from that of a normal distribution.
1 maj 1988 · We have verified the derived general expressions by applying them to the Gaussian probability distribution (GPD) and we show how unbiased central moments and kurtosis behave for finite samples.
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 normality. AI generated definition based on: Laboratory Statistics (Second Edition), 2018
23 kwi 2022 · The third and fourth moments of X X about the mean also measure interesting (but more subtle) features of the distribution. The third moment measures skewness, the lack of symmetry, while the fourth moment measures kurtosis, roughly a measure of the fatness in the tails.
24 lut 2021 · Kurtosis, together with skewness, is widely used to quantify the non-normality—the deviation from a normal distribution—of a distribution. In psychology, kurtosis has often been studied in the field of quantitative psychology to evaluate its effects on psychometric models.
