J. Korean Math. Soc. 2009; 46(4): 827-840
Printed July 1, 2009
https://doi.org/10.4134/JKMS.2009.46.4.827
Copyright © The Korean Mathematical Society.
Jong-Il Baek, Hye-Young Seo, Gil-Hwan Lee, and Jeong-Yeol Choi
Wonkwang University
Let $\{X_{ni}\,|\, 1 \le i \le n,\, n \ge 1 \}$ be an array of rowwise negatively dependent $(ND)$ random variables. We in this paper discuss the conditions of $\sum_{i=1}^{n} a_{ni} X_{ni} \rightarrow 0 $ completely as $n \rightarrow \infty$ under not necessarily identically distributed setting and the strong law of large numbers for weighted sums of arrays of rowwise negatively dependent random variables is also considered.
Keywords: complete convergence, Negatively dependent random variables, arrays, uniformly bounded random variable, strong convergence, weak convergence
MSC numbers: Primary 60F05; Secondary 62E10, 45E10
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