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Skewness Parameter


A skewness parameter is a shape parameter that controls asymmetry in a specified family of statistical distributions. Its definition and allowed range depend on the family. For a stable distribution, the skewness parameter is beta in [-1,1]. When the index of stability satisfies 0<alpha<2, beta=0 gives a symmetric statistical distribution, while positive and negative values favor the right and left tails, respectively. At alpha=2, the stable distribution is a normal distribution and does not depend on beta (Nolan 2020).

A skewness parameter is not in general the skewness defined by the standardized third central moment. In particular, a nondegenerate stable distribution with 0<alpha<2 has infinite variance, so its moment-based skewness is undefined even though beta is well defined.


See also

Index of Stability, Shape Parameter, Skewness, Stable Distribution

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References

Nolan, J. P. Univariate Stable Distributions: Models for Heavy Tailed Data. Cham, Switzerland: Springer, 2020. https://doi.org/10.1007/978-3-030-52915-4.

Cite this as:

Weisstein, Eric W. "Skewness Parameter." From MathWorld--A Wolfram Resource. https://mathworld.wolfram.com/SkewnessParameter.html

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