摘要
通过对随机变量相互独立和不相关的本质分析,提出了一种新的更为简便的判别方法,同时给出实例验证了该方法的有效性和可行性.进一步研究相互独立和不相关的区别与联系,证明了两者等价的属性并不是二维正态分布所特有.
By analyzing the essence of independence and non-correlation of random variables,a new and simpler discrimination method is proposed.At the same time,an actual example is given to verify the validity and feasibility of this method.Further,the difference and relation of mutual independence and non-correlation are studied and it is proved that the attribute of their equivalence is not peculiar to the two-dimensional normal distribution.
作者
马双红
陈金淑
MA Shuang-hong;CHEN Jin-shu(School of Science,Lanzhou Univ.of Tech.,Lanzhou 730050,China)
出处
《兰州理工大学学报》
CAS
北大核心
2019年第6期169-172,共4页
Journal of Lanzhou University of Technology
基金
国家自然科学基金(11461041)
甘肃省自然科学基金(061706).
关键词
随机变量
相互独立
不相关
等价
random variables
mutual independence
non-correlation
equivalence
作者简介
马双红(1978-),女,甘肃陇西人,硕士,讲师。
