Probability Inequalities for Extended Negatively Dependent Random Variables and Their Applications

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  • School of Mathematics and Computational Science, Fuyang Teacher’s College
TANG Xiao-feng(1978-), male, native of Fuyang, Anhui, a lecturer of Fuyang Teacher's College, M.S.D., engages in probability limit theorem.

Received date: 2012-06-08

  Online published: 2020-12-01

Supported by

Supported by the Project of the Feature Specialty of China(TS11496); Supported by the Scientific Research Projects of Fuyang Teacher’s College(2009FSKJ09);

Abstract

Some probability inequalities are established for extended negatively dependent(END) random variables. The inequalities extend some corresponding ones for negatively associated random variables and negatively orthant dependent random variables. By using these probability inequalities, we further study the complete convergence for END random variables. We also obtain the convergence rate O(n-1/2ln1/2n) for the strong law of large numbers, which generalizes and improves the corresponding ones for some known results. 

Cite this article

TANG Xiao-feng . Probability Inequalities for Extended Negatively Dependent Random Variables and Their Applications[J]. Chinese Quarterly Journal of Mathematics, 2014 , 29(2) : 195 -202 . DOI: 10.13371/j.cnki.chin.q.j.m.2014.02.006

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