Un-correlativity and Independency of Normal Random Vectors(Variables)

CHEN  He-Feng

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Un-correlativity and Independency of Normal Random Vectors(Variables)

更新时间：2026-05-27

- Un-correlativity and Independency of Normal Random Vectors(Variables)
- Vol. 28, Issue 2, Pages: 66-68(2011)
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- Online First：25 June 2011，
  
  Published：2011
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陈鹤峰. 随机向量的相关与独立[J]. 广东工业大学学报, 2011, 28(2): 66-68.

CHEN He-Feng. Un-correlativity and Independency of Normal Random Vectors(Variables)[J]. 2011, 28(2): 66-68.
陈鹤峰. 随机向量的相关与独立[J]. 广东工业大学学报, 2011, 28(2): 66-68. DOI：

CHEN He-Feng. Un-correlativity and Independency of Normal Random Vectors(Variables)[J]. 2011, 28(2): 66-68. DOI：

摘要

归纳了判断随机向量独立性和不相关的方法.这些方法简化了随机向量独立与不相关的判定.讨论了常见的误区及判别方法，并给出应用实例.对这些方法提出了扩充方向.

Abstract

or uncorrelated random vectors have many good properties. It is not enough to determine the un-correlativity or independency just by virtue of its definition and intuition. First

it summarized the methods of determining independence or uncorrelated random vectors. It is important to avoid judging errors. Then

some examples were given

based on these methods. Finally

the expansion of these methods was proposed.

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references

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