A weak law of large numbers for the weighted sums of non-identically distributed NA random matrix sequences is studied.
研究了不同分布NA序列加权和最大值的弱大数定律，推广了前人的结果。
The paper discuss the upper bound of the distribution of the partial sums of identically distributed mixing random variables.
本文讨论了同 分布混合序列部分和 分布函数的上界及其应用。
Until now, all the results on central limit theorems under sublinear expectations require that the sequence of random variables is independent and identically distributed.
本文的目的是探究次线性期望理论中一个重要的结果：中心极限定理。
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