The paper gives four kinds of convergence of sequence of random variables in probability theory, proves the relations between them.
给出了概率论中所用到的随机变量列的四种收敛性，证明了它们之间的关系。
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。
A convergence theorem for the sequence of arbitrary random variables is obtained.
得到了任意随机变量序列的收敛性定理。
The strong law of large Numbers for a class of the sequence of arbitrary random variables are obtained.
给出了一类任意随机变数序列的强大数律。
The strong law of large Numbers for a class of the sequence of arbitrary random variables are obtained.
给出了一类任意随机变数序列的强大数律。
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