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分数填补下两总体分位数差异的经验似然置信区间 被引量：1

Empirical Likelihood Confidence Intervals for Quant ile Differences of Two Populations under Fractional Imputation
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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.
作者 王历容 秦永松 白云霞
机构地区 湖南人文科技学院计算机科学技术系 广西师范大学数学科学学院
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
分类号 O212.7 [理学—概率论与数理统计]
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参考文献14

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二级参考文献19

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应用数学学报
2012年 第1期

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