用随机缺失的普查指标进行量差估计。

IF 16.4 1区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY
Accounts of Chemical Research Pub Date : 2024-04-01 Epub Date: 2024-01-18 DOI:10.1007/s10985-023-09614-7
Cui-Juan Kong, Han-Ying Liang
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引用次数: 0

摘要

本文定义了当数据为右删失且删失指标随机缺失时的分布函数估计量,并建立了它们的强表示和渐近正态性。此外,基于经验似然法,我们分别定义了存在和不存在辅助信息时的最大经验似然估计值和两样本量差的平滑对数经验似然比,并证明了它们的渐近分布。通过仿真研究和实际数据分析,研究了所提方法的有限样本行为。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Quantile difference estimation with censoring indicators missing at random.

Quantile difference estimation with censoring indicators missing at random.

In this paper, we define estimators of distribution functions when the data are right-censored and the censoring indicators are missing at random, and establish their strong representations and asymptotic normality. Besides, based on empirical likelihood method, we define maximum empirical likelihood estimators and smoothed log-empirical likelihood ratios of two-sample quantile difference in the presence and absence of auxiliary information, respectively, and prove their asymptotic distributions. Simulation study and real data analysis are conducted to investigate the finite sample behavior of the proposed methods.

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来源期刊
Accounts of Chemical Research
Accounts of Chemical Research 化学-化学综合
CiteScore
31.40
自引率
1.10%
发文量
312
审稿时长
2 months
期刊介绍: Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.
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