Strong Convergence for weighed sums of negatively superadditive dependent random variables

Zhiyong Chen; Haibin Wang; Xuejun Wang; Shuhe Hu

Kybernetika (2016)

  • Volume: 52, Issue: 1, page 52-65
  • ISSN: 0023-5954

Abstract

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In this paper, the strong law of large numbers for weighted sums of negatively superadditive dependent (NSD, in short) random variables is obtained, which generalizes and improves the corresponding one of Bai and Cheng ([2]) for independent and identically distributed random variables to the case of NSD random variables.

How to cite

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Chen, Zhiyong, et al. "Strong Convergence for weighed sums of negatively superadditive dependent random variables." Kybernetika 52.1 (2016): 52-65. <http://eudml.org/doc/276766>.

@article{Chen2016,
abstract = {In this paper, the strong law of large numbers for weighted sums of negatively superadditive dependent (NSD, in short) random variables is obtained, which generalizes and improves the corresponding one of Bai and Cheng ([2]) for independent and identically distributed random variables to the case of NSD random variables.},
author = {Chen, Zhiyong, Wang, Haibin, Wang, Xuejun, Hu, Shuhe},
journal = {Kybernetika},
keywords = {NSD random variables; weighted sums; strong law of large numbers},
language = {eng},
number = {1},
pages = {52-65},
publisher = {Institute of Information Theory and Automation AS CR},
title = {Strong Convergence for weighed sums of negatively superadditive dependent random variables},
url = {http://eudml.org/doc/276766},
volume = {52},
year = {2016},
}

TY - JOUR
AU - Chen, Zhiyong
AU - Wang, Haibin
AU - Wang, Xuejun
AU - Hu, Shuhe
TI - Strong Convergence for weighed sums of negatively superadditive dependent random variables
JO - Kybernetika
PY - 2016
PB - Institute of Information Theory and Automation AS CR
VL - 52
IS - 1
SP - 52
EP - 65
AB - In this paper, the strong law of large numbers for weighted sums of negatively superadditive dependent (NSD, in short) random variables is obtained, which generalizes and improves the corresponding one of Bai and Cheng ([2]) for independent and identically distributed random variables to the case of NSD random variables.
LA - eng
KW - NSD random variables; weighted sums; strong law of large numbers
UR - http://eudml.org/doc/276766
ER -

References

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