On complete convergence for arrays

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Complete convergence for arrays of rowwise negatively superadditive-dependent random variables and its applications (2016, background): “[14] for independent random variables to the case of NSD random variables.”
On complete convergence for arrays of rowwise negatively associated random variables (2009, methodology): “The wide majority of results on complete convergence known in literature could be derived from the main result of [4].”
On complete convergence for widely orthant-dependent random variables and its applications in nonparametric regression models (2014, background): “Recently, Kruglov et al. (2006) obtained the following complete convergence theorem for arrays of row-wise independent random variables {Xni , 1 ≤ i ≤ kn, n ≥ 1}, where {kn, n ≥ 1} is a sequence of positive integers.”
Complete convergence for arrays of rowwise negatively orthant dependent random variables (2011, background): “Gut, A.: Complete convergence for arrays.”