Extensions of true skewness for unimodal distributions
Abstract
A 2022 paper arXiv:2009.10305v4 introduced the notion of true positive and negative skewness for continuous random variables via Fr\échet -means. In this work, we find novel criteria for true skewness, establish true skewness for the Weibull, L\évy, skew-normal, and chi-squared distributions, and discuss the extension of true skewness to discrete and multivariate settings. Furthermore, some relevant properties of the -means of random variables are established.
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