QUANTILE ESTIMATION WITH AUXILIARY INFORMATION UNDER POSITIVELY ASSOCIATED SAMPLES

The empirical likelihood is used to propose a new class of quantile estimators in the presence of some auxiliary information under positively associated samples. It is shown that the proposed quantile estimators are asymptotically normally distributed with smaller asymptotic variances than those of...

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Published inActa mathematica scientia Vol. 36; no. 2; pp. 453 - 468
Main Author 李英华 秦永松 雷庆祝 李丽凤
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 01.03.2016
Department of Mathematics, Guangxi Normal University, Guilin 541004, China
Subjects
62E20
62G05
Asymptotic properties
Empirical analysis
empirical likelihood
Estimators
positively associated sample
Quantile
Quantiles
62G05
positively associated sample
empirical likelihood
Quantile
62E20
Online AccessGet full text
ISSN0252-9602
1572-9087
DOI10.1016/S0252-9602(16)30012-1

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Summary:The empirical likelihood is used to propose a new class of quantile estimators in the presence of some auxiliary information under positively associated samples. It is shown that the proposed quantile estimators are asymptotically normally distributed with smaller asymptotic variances than those of the usual quantile estimators.
Bibliography:42-1227/O
The empirical likelihood is used to propose a new class of quantile estimators in the presence of some auxiliary information under positively associated samples. It is shown that the proposed quantile estimators are asymptotically normally distributed with smaller asymptotic variances than those of the usual quantile estimators.
Quantile; positively associated sample; empirical likelihood
Yinghua LI, Yongsong QIN, Qingzhu LEI, Lifeng LI （Department of Mathematics, Guangxi Normal University, Cuilin 541004, China）
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:0252-9602
1572-9087
DOI:10.1016/S0252-9602(16)30012-1