Kernel Density Estimation for Random Censored Data under Ranking Set Sampling

摘要：

　　In order to estimate the probability density function of an unknown survival distribution,the kernel density estimator based on a ranked set sample with random censored data is proposed.It is shown that the proposed estimator has asymptotic normality.A simulation study is conducted to compare the efficiency of the proposed estimator with the corresponding estimator based on simple random sampling, and it is shown that the ranked set sampling has higher efficiency.

关键词： Kernel density estimator Survival distribution Ranked set sampling Relative efficiency

作者: DONG Xiaofang ZHANG Liangyong

作者单位: School of Mathematics and Statistics,Hebei University of Economic and Business,P.R.China,050061

会议类型: 国际会议

会议名称: The 7th International Institute of Statistics & Management Engineering Symposium(IISMES2015) (第七届国际统计与管理工程学术研讨会)

会议地点: 山东 日照

会议语种:英文

页码: 729-734

在线出版日期: 2015-08-17（万方平台首次上网日期，不代表论文的发表时间）