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Let {<TEX>Xₙᵢ</TEX> | <TEX>1≤i≤n,\;n≥1</TEX>} be an array of rowwise negatively dependent (ND) random variables. We in this paper discuss the conditions of <TEX>∑ⁿₜ₌₁aₙᵢXₙᵢ→0</TEX> completely as <TEX>n→∞</TEX> 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.
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Baek et al. (2009) studied this question.
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