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

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

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.

Original language	English
Pages (from-to)	995-1006
Number of pages	12
Journal	Communications in Statistics - Theory and Methods
Volume	46
Issue number	2
DOIs	https://doi.org/10.1080/03610926.2015.1010006
State	Published - 17 Jan 2017
Externally published	Yes

Keywords

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

Access to Document

10.1080/03610926.2015.1010006

Cite this

@article{9f5ce1a3038040e49569d799e312c8b5,

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",

author = "Mu Zhao and Hongmei Jiang and Yong Zhou",

note = "Publisher Copyright: {\textcopyright} 2017 Taylor \& Francis Group, LLC.",

year = "2017",

month = jan,

day = "17",

doi = "10.1080/03610926.2015.1010006",

language = "英语",

volume = "46",

pages = "995--1006",

journal = "Communications in Statistics - Theory and Methods",

issn = "0361-0926",

publisher = "Taylor and Francis Ltd.",

number = "2",

}

TY - JOUR

T1 - Estimation of percentile residual life function with left-truncated and right-censored data

AU - Zhao, Mu

AU - Jiang, Hongmei

AU - Zhou, Yong

PY - 2017/1/17

Y1 - 2017/1/17

N2 - 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.

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

KW - Left-truncated and right-censored data

KW - Percentile residual life function

KW - TJW product-limit process

UR - https://www.scopus.com/pages/publications/84991408365

U2 - 10.1080/03610926.2015.1010006

DO - 10.1080/03610926.2015.1010006

M3 - 文章

AN - SCOPUS:84991408365

SN - 0361-0926

VL - 46

SP - 995

EP - 1006

JO - Communications in Statistics - Theory and Methods

JF - Communications in Statistics - Theory and Methods

IS - 2

ER -

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

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this