Uniformly asymptotic normality of sample quantiles estimator for linearly negative quadrant dependent samples

Abstract In the present article, by utilizing some inequalities for linearly negative quadrant dependent random variables, we discuss the uniformly asymptotic normality of sample quantiles for linearly negative quadrant dependent samples under mild conditions. The rate of uniform asymptotic normalit...

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Main Authors: Xueping Hu, Rong Jiang, Keming Yu, Tong Zhang
Format: Article
Language:English
Published: SpringerOpen 2018-07-01
Series:Journal of Inequalities and Applications
Subjects:
Online Access:http://link.springer.com/article/10.1186/s13660-018-1788-6
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author Xueping Hu
Rong Jiang
Keming Yu
Tong Zhang
author_facet Xueping Hu
Rong Jiang
Keming Yu
Tong Zhang
author_sort Xueping Hu
collection DOAJ
description Abstract In the present article, by utilizing some inequalities for linearly negative quadrant dependent random variables, we discuss the uniformly asymptotic normality of sample quantiles for linearly negative quadrant dependent samples under mild conditions. The rate of uniform asymptotic normality is presented and the rate of convergence is near O(n−1/4logn) $O(n^{-1/4} \log n)$ when the third moment is finite, which extends and improves the corresponding results of Yang et al. (J. Inequal. Appl. 2011:83, 2011) and Liu et al. (J. Inequal. Appl. 2014:79, 2014) under negatively associated random samples in some sense.
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spelling doaj.art-4c1abcfdb16a4990886f31eff47f009e2022-12-21T23:15:57ZengSpringerOpenJournal of Inequalities and Applications1029-242X2018-07-012018111210.1186/s13660-018-1788-6Uniformly asymptotic normality of sample quantiles estimator for linearly negative quadrant dependent samplesXueping Hu0Rong Jiang1Keming Yu2Tong Zhang3School of Mathematics and Computation Science, Anqing Normal UniversityDepartment of Mathematics, Brunel UniversityDepartment of Mathematics, Brunel UniversitySchool of Mathematics and Computation Science, Anqing Normal UniversityAbstract In the present article, by utilizing some inequalities for linearly negative quadrant dependent random variables, we discuss the uniformly asymptotic normality of sample quantiles for linearly negative quadrant dependent samples under mild conditions. The rate of uniform asymptotic normality is presented and the rate of convergence is near O(n−1/4logn) $O(n^{-1/4} \log n)$ when the third moment is finite, which extends and improves the corresponding results of Yang et al. (J. Inequal. Appl. 2011:83, 2011) and Liu et al. (J. Inequal. Appl. 2014:79, 2014) under negatively associated random samples in some sense.http://link.springer.com/article/10.1186/s13660-018-1788-6Sample quantileAsymptotic normalityLinearly negative quadrant dependent sequence
spellingShingle Xueping Hu
Rong Jiang
Keming Yu
Tong Zhang
Uniformly asymptotic normality of sample quantiles estimator for linearly negative quadrant dependent samples
Journal of Inequalities and Applications
Sample quantile
Asymptotic normality
Linearly negative quadrant dependent sequence
title Uniformly asymptotic normality of sample quantiles estimator for linearly negative quadrant dependent samples
title_full Uniformly asymptotic normality of sample quantiles estimator for linearly negative quadrant dependent samples
title_fullStr Uniformly asymptotic normality of sample quantiles estimator for linearly negative quadrant dependent samples
title_full_unstemmed Uniformly asymptotic normality of sample quantiles estimator for linearly negative quadrant dependent samples
title_short Uniformly asymptotic normality of sample quantiles estimator for linearly negative quadrant dependent samples
title_sort uniformly asymptotic normality of sample quantiles estimator for linearly negative quadrant dependent samples
topic Sample quantile
Asymptotic normality
Linearly negative quadrant dependent sequence
url http://link.springer.com/article/10.1186/s13660-018-1788-6
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AT kemingyu uniformlyasymptoticnormalityofsamplequantilesestimatorforlinearlynegativequadrantdependentsamples
AT tongzhang uniformlyasymptoticnormalityofsamplequantilesestimatorforlinearlynegativequadrantdependentsamples