1·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。
2·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。
3·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。
4·Benchmarks may also have non-identically-distributed observable variables that may affect performance.
基准测试还可能有非恒等分布的可观察到的变量，它们也会影响性能。
5·However, the correlation effect over time in SUR model is not taken into account. In a standard linear model, we often assume the error terms are identically independent distributed.
研究表明，与没有考虑不同时间上的相关性的信度回归模型相比较，考虑了相关性的模型得到的估计值的误差较小。