论文标题
部分可观测时空混沌系统的无模型预测
Extensions of true skewness for unimodal distributions
论文作者
论文摘要
2022年的论文Arxiv：2009.10305V4通过Fréchet$ p $ -Means引入了真正的正面和负偏度的概念。在这项工作中，我们找到了真正偏度的新标准，为Weibull，Lévy，偏斜正常和卡方分布建立了真正的偏度，并讨论了真正偏度到离散和多变量设置的扩展。此外，还建立了$ p $ - 表示随机变量的某些相关属性。
A 2022 paper arXiv:2009.10305v4 introduced the notion of true positive and negative skewness for continuous random variables via Fréchet $p$-means. In this work, we find novel criteria for true skewness, establish true skewness for the Weibull, Lévy, skew-normal, and chi-squared distributions, and discuss the extension of true skewness to discrete and multivariate settings. Furthermore, some relevant properties of the $p$-means of random variables are established.
