1.
It derives several theorems associated with convergence properties of complex independent random variables.
得到与复值独立随机变量序列收敛性有关的几个定理。
2.
Weak law of large numbers for the random variable sequences of un-independent and un-identical distribution;
非独立不同分布随机变量序列的弱大数定律
3.
A Strong Law of Large Numbers for Weighted Sums of Double Arrays of Pair-wise Independent Random Variables;
两参数两两独立的随机变量序列加权和的强大数定律
4.
General results of the strong law of large numbers for i.i.d.r.v. sequences.
独立同分布随机变量序列强大数定律的一般性结果
5.
Complete Convergence for Arrays of Rowwise Independemt Random Variables
行内独立随机变量组列的完全收敛性
6.
independent standard normal random variable
独立标准正态随机变量
7.
A Strong Limit Theorem for Conditionally Independent Random Variables Sequence Controlled by a Finite Nonhomogeneous Markov Chain
一类被有限非齐次马氏链控制的条件独立的随机变量序列的强极限定理
8.
This note is devoted to introduce the concept of dominated random sequence and give a weak law of large numbers for dependent random sequence.
引入受控随机序列的概念,给出了独立随机序列的一个弱大数定律.
9.
Strong Limit Theorems for Independent Rough Variables Sequence
独立粗糙变量序列的一类强极限定理
10.
Separate Random Variable for Mutually Independent Distinction Method;
离散型随机变量相互独立的判别方法
11.
Conditional independence of the discrete random variables and its properties
离散型随机变量的条件独立及其性质
12.
In this paper, sufficient conditions are given for applicability of the law of the iterated logarithm for self-normalized sums of independent random vectors.
本文给出了独立随机向量序列自正则和的重对数律成立的一个充分条件。
13.
On Inverse Moments for Nonnegative Weakly Convergent Random Variables;
关于非负弱收敛随机变量序列的逆矩
14.
Strong Law of Large Numbers for AANA Random Variables Sequence;
AANA随机变量序列的强大数定理
15.
The Wittman Strong Law of Large Numbers on PA Random Variables Sequences;
PA随机变量序列Wittman型强大数律
16.
Four Modes of Convergence of a Sequence of Random Variables and Relationships among Them;
随机变量序列四种收敛形式及其关系
17.
The Relation of Convergence of Complex Random Variables Sequence;
复值随机变量序列几种收敛性的关系
18.
Strong deviation theorems of random variable sequences for occurring frequencies;
随机变量序列发生频率的强偏差定理