Efficiency of estimators for quantile differences with left truncated and right censored data

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• 作者：Li Xun^a ; Li Shao^b ; Yong Zhou^b ; ^c ; ^{yzhou@amss.ac.cn}
• 关键词：Left truncated and right censored data ; Quantile difference ; Mean squared error ; Deficiency
• 刊名：Statistics & Probability Letters
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：121
• 期：Complete
• 页码：29-36
• 全文大小：400 K
• 卷排序：121

文摘

We study the efficiency of two estimators of quantile difference with left truncated and right censored data. Based on deficiency, the performances of the estimators are compared. The theoretical results and numerical studies show that the smoothed estimator is more efficient.