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关于正态随机变量线性组合分布的反例构造
引用本文:王峰.关于正态随机变量线性组合分布的反例构造[J].无锡商业职业技术学院学报,2001,1(2):51-53.
作者姓名:王峰
作者单位:彭城职业大学
摘    要:任意n个正态随机变量之和不一定是正态随机变量,反例较难构造和证明,文献1]给出了Rosenberg例。本文用其他方法构造了两个及任意n个非独立的正态随机变量线性组合不是正态随机变量例子,且证明方法也较简便。同时,将Rosenberg例进行了推广。通过反例的构造与证明,对正态随机变量线性组合分布的理解与应用有一定意义。

关 键 词:非独立  正态随机变量  线性组合  分布
文章编号:1671-4806(2001)02-051-03

An Opposite Example about the Distribution of Linear Combination of Abnormal Random Variables
WANG Feng.An Opposite Example about the Distribution of Linear Combination of Abnormal Random Variables[J].Journal of Vocational Institute of Commercial Technology,2001,1(2):51-53.
Authors:WANG Feng
Abstract:The sum of abnormal random variables of random n is not necessarily abnormal random variables. An opposite example is difficult to find and prove.The document l]gives the Rosenberg example.By using other methods,this article gives an example to show that non - independent linear combination of abnormal random variables of two and random n is not necessarily abonrmal random variables. The proof method is simple.This example is significant to the understanding and application of the distribution of linear combination of abnormal random variables.
Keywords:non- independen  abnormal random variables  linear combination  distribution
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