摘要
讨论了如何把离散型随机变量转化为连续型随机变量.首先给出了连续型随机变量与通过对其取整得到的离散型随机变量应该满足的两个充分必要条件,然后从不限定和限定连续型随机变量的分布这两个方面,给出了离散型随机变量连续化的几种方法,并且用这些方法分别解决了几何分布和离散韦布尔分布分别向指数分布和韦布尔分布的转化.
This paper mainly discusses how to convert discrete random variables into continuous random variables.Firstly,two sufficient and necessary conditions are given for continuous random variables and discrete random variables obtained by integrating continuous random variables.And then,in terms of the undefined and the finite distributions of continuous random variables,this paper gives several methods for the continuous transformation of discrete random variables.The paper makes geometric distribution and discrete Weibull distribution transformed into exponential distribution and Weibull distribution by these methods respectively.
作者
何朝兵
魏超
HE Chaobing;WEI Chao(School of Mathematics and Statistics,Anyang Normal University,455000 Anyang,Henan,PRC)
出处
《曲阜师范大学学报(自然科学版)》
CAS
2019年第2期52-56,共5页
Journal of Qufu Normal University(Natural Science)
基金
河南省科技攻关计划(162102310384)
河南省高等学校重点科研项目(18A110009
16A110001)
关键词
离散型随机变量
连续型随机变量
几何分布
指数分布
韦布尔分布
discrete random variable
continuous random variable
geometric distribution exponential distribution
Weibull distribution