本文把Stout[8]的一个关于独立同分布随机变量序列加权和的完全收敛性结果推广到NA随机变量序列加权和情形,本质上改善了原有结果的矩条件.本文的证明方法和原有文献的证明方法类似,但本文深入挖掘原有结果权条件之间隐藏的蕴含关系并加以有效的利用,从而达到改善矩条件的目的.
The complete convergence for the weighted sums of independent and identically distributed random variables in Stout [8] is improved and extended to the NA setup, the more optimized moment condition is given by comparation the relation between the weighted conditions. Our method is slight different from Stout's.