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Convergence of the tail probability for weighted sums of negatively orthant dependent random variables

Haiwu Huang, Linyan Li, Xuewen Lu (2020)

Kybernetika

In this research, strong convergence properties of the tail probability for weighted sums of negatively orthant dependent random variables are discussed. Some sharp theorems for weighted sums of arrays of rowwise negatively orthant dependent random variables are established. These results not only extend the corresponding ones of Cai [4], Wang et al. [19] and Shen [13], but also improve them, respectively.

Convergence properties for arrays of rowwise pairwise negatively quadrant dependent random variables

Yongfeng Wu, Dingcheng Wang (2012)

Applications of Mathematics

In this paper the authors study the convergence properties for arrays of rowwise pairwise negatively quadrant dependent random variables. The results extend and improve the corresponding theorems of T. C. Hu, R. L. Taylor: On the strong law for arrays and for the bootstrap mean and variance, Int. J. Math. Math. Sci 20 (1997), 375–382.

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