摘要
设有两个非参数总体,其样本数据不完全,用分数填补法补足缺失数据,得到两总体的"完全"样本数据,在此基础上构造两总体分位数差异的经验似然置信区间.模拟结果显示,分数填补法可以得到更加精确的置信区间.
Consider two independent nonparametric populations with missing data. Frac- tional' imputation method is used to impute the missing data to obtain "complete" data. Empirical likelihood confidence intervals for quantile difference of two populations are then constructed based on the fractional imputation. It is shown that fractional imputation can improve the accuracy of confidence intervals.
出处
《应用数学学报》
CSCD
北大核心
2012年第1期138-155,共18页
Acta Mathematicae Applicatae Sinica
基金
国家自然科学基金(10661003,10971038)
广西自然科学基金(2010GXNSFA013117)资助项目
关键词
分位数
缺失数据
分数填补
经验似然
置信区间
quantile
missing data
fractional imputation
empirical likelihood
confidence intervals