1.
Precise large deviation for sums of negatively associated heavy-tailed random variables in D∩L
重尾分布类D∩L中负相伴随机变量和的精确大偏差
2.
A Strong Invariance Principle for Negatively Associated Gaussian Sequences
负相伴高斯随机变量序列的一个强不变原理
3.
Separate Random Variable for Mutually Independent Distinction Method;
离散型随机变量相互独立的判别方法
4.
Strong Limit Theorems for Mixing Sequences
混合相依随机变量序列的强极限定理
5.
Generalization of Kendall Correlation Coefficient among Random Variables
随机变量的Kendall相关系数的推广
6.
Logarithm Theorems for Negatively Dependent Random Sequences
负相关随机变量序列的对数律(英文)
7.
Study for the Dependence of Tail Dependence Random Variables According to Copula;
基于Copula对尾相依随机变量相依性的研究
8.
The Stochastic Order and Dual Stochastic Order of Real-Valued Random Variables;
实值随机变量的随机序与对偶随机序
9.
Another selectivity from the measures of association between random variables;
随机变量相依性度量指标的另一种选择
10.
The Measure Indexes of Relationship Dependence Based on Copula-Functions
基于Copula函数随机变量相依性指标的度量
11.
A Research on Universal Algorithms for Generating Continuous Random Variable and Correlated Stochastic Series;
连续随机变量与相关随机序列的通用产生算法研究
12.
An estimator is a random variable.
估计量是一个随机变量。
13.
THE CONSISTENCY OF THE NLLS ESTIMATORS IN THE ECONOMETRIC MODEL FOR THE NONLINEAR STOCHASTIC EXPLANATORY VARIABLES
非线性随机解释变量模型参数估计的相合性
14.
The formula for empirical frequency correlation coefficient between two random variables is demon -strated.
导出了两随机变量的频率相关系教的公式。
15.
Some Limit Theorems for Mixing Sequences of Random Variables;
混合相依随机变量序列极限理论的若干结果
16.
Additivity of g-Expectation for Affine-ralated Random Variables;
g-期望关于仿射相关随机变量的可加性
17.
On the Strong Laws for Arrays of Negatively Dependent Random Variables;
负相依随机变量阵列加权和的强收敛性
18.
Comparison of Independence and Correlation Between Two Random Variables;
两个随机变量的独立性和相关性之比较