MultivariateStatistics`
MultivariateStatistics`
MultivariateMeanDeviation
MultivariateMeanDeviation[matrix]
gives the mean of the Euclidean distances between the elements of matrix and their mean.
更多信息和选项
- To use MultivariateMeanDeviation, you first need to load the Multivariate Statistics Package using Needs["MultivariateStatistics`"].
- MultivariateMeanDeviation is a univariate measure of mean deviation for multivariate data.
- The multivariate mean deviation is given by
∑iNorm[xi-
], where matrix={x1,x2,…,xn} and 
=Mean[matrix]. - MultivariateMeanDeviation handles both numerical and symbolic data.
范例
Wolfram Research (2007)，MultivariateMeanDeviation，Wolfram 语言函数，https://reference.wolfram.com/language/MultivariateStatistics/ref/MultivariateMeanDeviation.html.
文本
Wolfram Research (2007)，MultivariateMeanDeviation，Wolfram 语言函数，https://reference.wolfram.com/language/MultivariateStatistics/ref/MultivariateMeanDeviation.html.
CMS
Wolfram 语言. 2007. "MultivariateMeanDeviation." Wolfram 语言与系统参考资料中心. Wolfram Research. https://reference.wolfram.com/language/MultivariateStatistics/ref/MultivariateMeanDeviation.html.
APA
Wolfram 语言. (2007). MultivariateMeanDeviation. Wolfram 语言与系统参考资料中心. 追溯自 https://reference.wolfram.com/language/MultivariateStatistics/ref/MultivariateMeanDeviation.html 年