2) sequence of dependent d iscrete variables
离散相依随机变量序列
3) M-dependent random variable sequence
m-相依随机变量序列
4) sequence of complex independent random variables
复值独立随机变量序列
1.
Several theorems about the relation between the sums of sequence of complex independent random variables and convergence are derived.
得到复值独立随机变量序列部分和同收敛性有关的几个定理。
2.
This paper derives several theorems concerning weak law of large numbers for sequence of complex independent random variables.
得到复值独立随机变量序列的几个弱大数定理。
3.
This paper derives several of theorems concerning strong law of large numbers and problems relative to it for sequence of complex independent random variables.
得到复值独立随机变量序列的几个强大数定理及有关定
6) associated random variable sequence
相协随机变量序列
1.
This paper presents some almost sure convergence properties and a strong law of large numbers for the partial sum of associated random variable sequences based on the Hajek-Renyi inequality for associated random variables and the Chung-Erdos inequality for event sequences using the Kronecker lemma and the Borel-Cantelli lemma,which generalize and improve the result in related literature.
文章基于相协随机变量序列的Hajek-Renyi不等式和事件序列的Chung-Erdos不等式,利用Krone-cker引理和Borel-Cantelli引理,给出相协随机变量序列部分和的几乎处处收敛性和强大数定律型的结果,推广和改进了吴爱娟论文中定理2和定理3的结果。
补充资料：变量与变量值
可变的数量标志和所有的统计指标称作变量。变量的数值表现称作
变量值，即标志值或指标值。变量与变量值不能误用。
变量值，即标志值或指标值。变量与变量值不能误用。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条