摘要
数据缺失是统计研究中经常遇到的问题,文章在总结常见缺失数据的处理方法的基础上,提出了用Gibbs抽样方法来解决数据缺失问题,并通过R语言来实现这一过程,从而为数据缺失提供一种新的解决思路。实验结果表明,Gibbs抽样是一种效果比较理想的处理缺失数据的方法。
Data missing is a common problem in statistical research. Based on summarizing the common so-lutions, this paper proposes to solve the problem by Gibbs sampling, and achieve this process through the R language, so as to provide a new method. The experimental results show that Gibbs sampling is an ideal method to deal with missing data.
作者
丁霞
Xia Ding(School of Economics & Management, Shanghai Maritime University, Shanghai)
出处
《统计学与应用》
2016年第4期359-364,共6页
Statistical and Application
