Volume 47, Issue 3
Complete Convergence for Weighted Sums of Negatively Superadditive Dependent Random Variables

Yu Zhou, Fengxi Xia, Yan Chen & Xuejun Wang

J. Math. Study, 47 (2014), pp. 287-294.

Published online: 2014-09

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  • Abstract

Let $\{X_n,n\geq1\}$ be a sequence of negatively superadditive dependent (NSD, in short) random variables and $\{a_{nk}, 1\leq k\leq n, n\geq1\}$ be an array of real numbers. Under some suitable conditions, we present some results on complete convergence for weighted sums $\sum_{k=1}^na_{nk}X_k$ of NSD random variables by using the Rosenthal type inequality. The results obtained in the paper generalize some corresponding ones for independent random variables and negatively associated random variables.

  • Keywords

Negatively superadditive dependent random variables Rosenthal type inequality complete convergence

  • AMS Subject Headings

60F15

  • Copyright

COPYRIGHT: © Global Science Press

  • Email address

1066705362@qq.com (Yu Zhou)

1046549063@qq.com (Fengxi Xia)

cy19921210@163.com (Yan Chen)

wxjahdx2000@126.com (Xuejun Wang)

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@Article{JMS-47-287, author = {Zhou , Yu and Xia , Fengxi and Chen , Yan and Wang , Xuejun }, title = {Complete Convergence for Weighted Sums of Negatively Superadditive Dependent Random Variables}, journal = {Journal of Mathematical Study}, year = {2014}, volume = {47}, number = {3}, pages = {287--294}, abstract = {Let $\{X_n,n\geq1\}$ be a sequence of negatively superadditive dependent (NSD, in short) random variables and $\{a_{nk}, 1\leq k\leq n, n\geq1\}$ be an array of real numbers. Under some suitable conditions, we present some results on complete convergence for weighted sums $\sum_{k=1}^na_{nk}X_k$ of NSD random variables by using the Rosenthal type inequality. The results obtained in the paper generalize some corresponding ones for independent random variables and negatively associated random variables. }, issn = {2617-8702}, doi = {https://doi.org/10.4208/jms.v47n3.14.04}, url = {http://global-sci.org/intro/article_detail/jms/9959.html} }
TY - JOUR T1 - Complete Convergence for Weighted Sums of Negatively Superadditive Dependent Random Variables AU - Zhou , Yu AU - Xia , Fengxi AU - Chen , Yan AU - Wang , Xuejun JO - Journal of Mathematical Study VL - 3 SP - 287 EP - 294 PY - 2014 DA - 2014/09 SN - 47 DO - http://doi.org/10.4208/jms.v47n3.14.04 UR - https://global-sci.org/intro/article_detail/jms/9959.html KW - Negatively superadditive dependent random variables KW - Rosenthal type inequality KW - complete convergence AB - Let $\{X_n,n\geq1\}$ be a sequence of negatively superadditive dependent (NSD, in short) random variables and $\{a_{nk}, 1\leq k\leq n, n\geq1\}$ be an array of real numbers. Under some suitable conditions, we present some results on complete convergence for weighted sums $\sum_{k=1}^na_{nk}X_k$ of NSD random variables by using the Rosenthal type inequality. The results obtained in the paper generalize some corresponding ones for independent random variables and negatively associated random variables.
Yu Zhou, Fengxi Xia, Yan Chen & Xuejun Wang. (2019). Complete Convergence for Weighted Sums of Negatively Superadditive Dependent Random Variables. Journal of Mathematical Study. 47 (3). 287-294. doi:10.4208/jms.v47n3.14.04
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