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相互独立的m值随机变量和的极限分布定理
引用本文:刘凤梅,李世取.相互独立的m值随机变量和的极限分布定理[J].高校应用数学学报(A辑),2000,15(1):57-64.
作者姓名:刘凤梅  李世取
作者单位:1. 北京中国科技大学研究生院9921班
2. 郑州信息工程学院信息研究系,450002
摘    要:利用m值随机变量的特征函数,在一定条件下,得到了相互独立的m值随机变量和的极限分布均匀的充要条件;再结合无穷乘积的有关性质,给出了相互独立的m值随机变量和极限分布均匀分布的充分条件,特别当m为素数P时,所得的充分条件易于验证,且不难满足。

关 键 词:m值随机变量  特征函数    极限分布定理

LIMIT DISTRIBUTION THEOREM FOR A SUM OF INDEPENDENT m-VALUED RANDOM VARIABLES
Liu Fengmei,Li Shiqu.LIMIT DISTRIBUTION THEOREM FOR A SUM OF INDEPENDENT m-VALUED RANDOM VARIABLES[J].Applied Mathematics A Journal of Chinese Universities,2000,15(1):57-64.
Authors:Liu Fengmei  Li Shiqu
Abstract:With the characteristic function of a m \|valued random variable,this paper gives a limit distribution theorem for a sum of independent m \|valued random variables.In addition,the sufficient condition has been discussed when the limit distribution of the sum of independent m \|valued random variables is uniform.For these conditions,it isn't difficult to satisfy them.Therefore,it is easy for the distribution of a sum of independent m \|valued random variables to converge to the uniform distribution,which is similar to the fact that the asymptotic distribution of a sum of independent real valued random variables is usually normal.
Keywords:Residue Class Ring  m-valued Random Variable  Characteristic Function  Uniform Distribution
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