Complete convergence for weighted sums of negatively associated random variables

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On complete convergence for widely orthant-dependent random variables and its applications in nonparametric regression models (2014, methodology): “2 under NA errors is considered by Liang and Jing (2005), so the result of Theorem 4.2 generalizes the corresponding one of Liang and Jing (2005) under NA errors to the case of WOD errors. We point out that the method used to prove Theorem 4.2 is different from that of Liang and Jing (2005). In addi”
Convergence of weighted averages of random variables revisited (2006, background): “Finally, see Liang [11] and the references there for further development of this subject.”
Complete moment and integral convergence for sums of negatively associated random variables (2008, background): “Some references for these NA counterparts are listed as follows: • Central Limit Theorem (Newman [12], Roussas [13], Su and Chi [14]) • Three-Series Criterion (Matula [15]) • Weak Law of Large Numbers (Chi and Su [16]) • Moment Inequalities (Su, Zhao, and Wang [17], Liu, Gan, and Chen [18], Shao [19”