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

Li Xun; Li Shao; Yong Zhou

doi:10.1016/j.spl.2016.10.001

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

Li Xun
, Li Shao
, Yong Zhou^*

^*此作品的通讯作者

Changchun University of Technology
Shanghai University of Finance and Economics
CAS - Academy of Mathematics and System Sciences

科研成果: 期刊稿件 › 文章 › 同行评审

6 引用（Scopus）

摘要

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.

源语言	英语
页（从-至）	29-36
页数	8
期刊	Statistics and Probability Letters
卷	121
DOI	https://doi.org/10.1016/j.spl.2016.10.001
出版状态	已出版 - 1 2月 2017
已对外发布	是

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title = "Efficiency of estimators for quantile differences with left truncated and right censored data",

abstract = "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.",

keywords = "Deficiency, Left truncated and right censored data, Mean squared error, Quantile difference",

author = "Li Xun and Li Shao and Yong Zhou",

note = "Publisher Copyright: {\textcopyright} 2016 Elsevier B.V.",

year = "2017",

month = feb,

day = "1",

doi = "10.1016/j.spl.2016.10.001",

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T1 - Efficiency of estimators for quantile differences with left truncated and right censored data

AU - Xun, Li

AU - Shao, Li

AU - Zhou, Yong

PY - 2017/2/1

Y1 - 2017/2/1

N2 - 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.

AB - 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.

KW - Deficiency

KW - Left truncated and right censored data

KW - Mean squared error

KW - Quantile difference

UR - https://www.scopus.com/pages/publications/84993967023

U2 - 10.1016/j.spl.2016.10.001

DO - 10.1016/j.spl.2016.10.001

M3 - 文章

AN - SCOPUS:84993967023

SN - 0167-7152

VL - 121

SP - 29

EP - 36

JO - Statistics and Probability Letters

JF - Statistics and Probability Letters

ER -

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

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