Estimation of percentile residual life function with left-truncated and right-censored data

Mu Zhao; Hongmei Jiang; Yong Zhou

doi:10.1080/03610926.2015.1010006

Estimation of percentile residual life function with left-truncated and right-censored data

Mu Zhao
, Hongmei Jiang^*
, Yong Zhou

^*此作品的通讯作者

Northwestern University
Zhongnan University of Economics and Law
CAS - Academy of Mathematics and System Sciences
Shanghai University of Finance and Economics

科研成果: 期刊稿件 › 文章 › 同行评审

2 引用（Scopus）

摘要

This article focuses on the estimation of percentile residual life function with left-truncated and right-censored data. Asymptotic normality and a pointwise confidence interval that does not require estimating the unknown underlying distribution function of the proposed empirical estimator are obtained. Some simulation studies and a real data example are used to illustrate our results.

源语言	英语
页（从-至）	995-1006
页数	12
期刊	Communications in Statistics - Theory and Methods
卷	46
期	2
DOI	https://doi.org/10.1080/03610926.2015.1010006
出版状态	已出版 - 17 1月 2017
已对外发布	是

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10.1080/03610926.2015.1010006

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title = "Estimation of percentile residual life function with left-truncated and right-censored data",

abstract = "This article focuses on the estimation of percentile residual life function with left-truncated and right-censored data. Asymptotic normality and a pointwise confidence interval that does not require estimating the unknown underlying distribution function of the proposed empirical estimator are obtained. Some simulation studies and a real data example are used to illustrate our results.",

keywords = "Confidence interval, Left-truncated and right-censored data, Percentile residual life function, TJW product-limit process",

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AB - This article focuses on the estimation of percentile residual life function with left-truncated and right-censored data. Asymptotic normality and a pointwise confidence interval that does not require estimating the unknown underlying distribution function of the proposed empirical estimator are obtained. Some simulation studies and a real data example are used to illustrate our results.

KW - Confidence interval

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KW - Percentile residual life function

KW - TJW product-limit process

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Estimation of percentile residual life function with left-truncated and right-censored data

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