1) B-valued random variables
B值随机变量
1.
Some strong convergence for the sequence of B-valued random variables;
B值随机变量序列的若干强收敛性
2.
In this paper,under the condition of uniformly boundary tail probability,we discuss the strong convergence for Jamison weighted sums of independent and differently distributed B-valued random variables.
讨论了不同分布B值随机变量Jam ison型加权和在尾概率一致有界的条件下的强大数定律,在一定意义上丰富和充实了古典的强大数定律。
2) array of martingale difference in Banach spaces
B值鞅差随机变量族
3) arryas of random element in Banach spaces
B值随机变量阵列
4) B valued random vector
B值随机变元
5) alued random vectors
B值随机向量
6) B-valued random element
B值随机元
1.
Moment complete convergence for B-valued random elements;
B值随机元序列的矩完全收敛性
2.
Convergence for sequence of B-valued random elements;
B值随机元序列的收敛性
3.
The author proves, at first, that the convergence almost-everywhere for a sequence of B-valued random elements is equivalent to its convergence almost-uniformly and then, gives a theorem of Lusin–type declaring that every B-valued random element can be approximated almost uniformly by a sequence of continuous functions.
本文首先证明了B值随机元序列几乎处处收敛与几乎一致收敛的等价性,然后用它来证明一个关于连续函数逼近B值随机元的Lusin型定理。
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