MultivariateStatistics`
MultivariateStatistics`
MultivariateSkewness
MultivariateSkewness[matrix]
gives a multivariate coefficient of skewness for matrix.
更多信息和选项
- To use MultivariateSkewness, you first need to load the Multivariate Statistics Package using Needs["MultivariateStatistics`"].
- MultivariateSkewness is a univariate measure of skewness for multivariate data.
- MultivariateSkewness[matrix] is equivalent to
where matrix={x1,x2,…,xn}, 
Mean[matrix], and 
is the estimated population covariance matrix. - A value of multivariate skewness close to zero indicates elliptical symmetry.
范例
Wolfram Research (2007)，MultivariateSkewness，Wolfram 语言函数，https://reference.wolfram.com/language/MultivariateStatistics/ref/MultivariateSkewness.html.
文本
Wolfram Research (2007)，MultivariateSkewness，Wolfram 语言函数，https://reference.wolfram.com/language/MultivariateStatistics/ref/MultivariateSkewness.html.
CMS
Wolfram 语言. 2007. "MultivariateSkewness." Wolfram 语言与系统参考资料中心. Wolfram Research. https://reference.wolfram.com/language/MultivariateStatistics/ref/MultivariateSkewness.html.
APA
Wolfram 语言. (2007). MultivariateSkewness. Wolfram 语言与系统参考资料中心. 追溯自 https://reference.wolfram.com/language/MultivariateStatistics/ref/MultivariateSkewness.html 年