1.
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
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.
On the Limit Distribution of the Maximum of i. i. d. Sequence with Random Index as a Regularly Varying Function
具有正则变化函数型随机足标的独立同分布序列最大值的极限分布
4.
The simulation model involves correlative random variables and different kind of probability distribution.
模拟模型考虑了实际存在的非独立随机变量以及不同随机变量的概率分布.
5.
independent and identically distributed variables
独立与同分布的变量
6.
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。
7.
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
8.
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
9.
independent standard normal random variable
独立标准正态随机变量
10.
Some results on the estimaticn of moments of the sum of independent random variables with symmetric distributions
关于对称型分布的随机变量独立和的矩的估计的几点结果
11.
Formula of density function of sum of independent random variable of uniform distribution;
服从均匀分布的多个独立随机变量和的密度函数公式
12.
Linear Transformation under Normal Random Variables Distribution;
线性变换下正态分布随机变量列的分布
13.
Dispersed Random Variables Extreme Value in Common Sequence of Distributions;
离散型随机变量常见分布列中的极值
14.
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。
15.
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
16.
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.
17.
The Edgeworth Expansion for the Random Weighting Estimate of the Sample Variance--Not the Independent Identicaly Distribution Case
方差估计的随机加权分布的渐近展开——非独立同分布情形
18.
Large Deviations for the Partial Sums of Several Random Variable Sequences;
一些随机变量序列部分和的大偏差定理