An exponential inequality for negatively dependent random variables
An exponential inequality is established for identically distributed negatively dependent random variables. By this exponential inequality, the convergence rate O(1)n(1/2)(logn)(-1/2) for the strong law of large numbers is obtained. This article extended the Soo Hak Sung's results about negativ...
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Published in | Zhejiang da xue xue bao. Journal of Zhejiang University. Sciences edition. Li xue ban Vol. 38; no. 1; pp. 31 - 37 |
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Main Authors | , , |
Format | Journal Article |
Language | Chinese |
Published |
Zhejiang University Press
01.02.2011
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Subjects | |
Online Access | Get full text |
ISSN | 1008-9497 |
DOI | 10.3785/j.issn.1008-9497.2011.01.008 |
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Abstract | An exponential inequality is established for identically distributed negatively dependent random variables. By this exponential inequality, the convergence rate O(1)n(1/2)(logn)(-1/2) for the strong law of large numbers is obtained. This article extended the Soo Hak Sung's results about negatively associated random variables. |
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AbstractList | 主要研究了同分布ND随机变量列的指数不等式,通过指数不等式得出关于ND随机变量列强大数定律的收敛率为 O(1)n1/2(log n)-1/2.推广了Soo Hak Sung(2009)关于NA的结果. An exponential inequality is established for identically distributed negatively dependent random variables. By this exponential inequality, the convergence rate O(1)n(1/2)(logn)(-1/2) for the strong law of large numbers is obtained. This article extended the Soo Hak Sung's results about negatively associated random variables. |
Author | Zhou, De-Hong Chen, Xiao-Lin Wu, Qun-Ying |
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SubjectTerms | Convergence Inequalities Law nd随机变量 Random variables 指数不等式 收敛率 |
Title | An exponential inequality for negatively dependent random variables |
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