Confidence intervals for a distribution function in the presence of auxiliary information

被引：0

作者：

Zhang, Biao ^{[1
]}

机构：

[1] Univ of Toledo, Toledo, United States

来源：

Computational Statistics and Data Analysis | 1996年 / 21卷 / 03期

关键词：

Asymptotic stability - Computer simulation - Functions - Mathematical models - Probability - Random processes;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

In this paper, we apply the empirical likelihood technique to construct confidence intervals for a population distribution function in the presence of some auxiliary information under a nonparametric setting. A simulation study is presented to assess the finite sample performance of the proposed confidence intervals.

引用

页码：327 / 342

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