Strong laws of large numbers for arrays of row-wise extended negatively dependent random variables

The main purpose of this paper is to obtain strong laws of large numbers for arrays or weighted sums of random variables under a scenario of dependence. Namely, for triangular arrays ${X_{n,k}, , 1 \leqslant k \leqslant n, , n \geqslant 1 }$ of row-wise extended negatively dependent random variables weakly mean dominated by a random variable $X\in {\mathcal{L}}_1$ and sequences $\{b_n\}$ of positive constants, conditions are given to ensure $\sum_{k=1}^{n} \left(X_{n,k} - $\mathbb{E}$ , X_{n,k} \right)/b_{n} \overset{$\text{a.s.}$}{\longrightarrow} 0$. Our statements also allow us to improve recent results about complete convergence.