1) mutually tolerated random variable
相容随机变量
1.
It excels the current direct sum of mutually tolerated random variable and reforming non - joint sum algorithm.
求解随机变量之和概率的算法,是可靠性分析的理论基础,文章导出一种新的割集消去算法,它优于目前的相容随机变量直接求和法与变换不交和算法,能使计算机辅助运算时间大幅度降低。
2) correlative random varibles
相关随机变量
1.
In this paper,a method of calculating structural four-moment reliability with correlative random varibles is proposed,and the approximative formula for calculting the first four-moment of performance function is chiefly set up.
本文提出含有相关随机变量结构四阶矩可靠度的计算方法,主要推导了功能函数前四阶矩的近似计算公式。
3) associated random variables
相伴随机变量
1.
A functional type of almost sure central limit theorem is given for a sequence of stationary associated random variables,under the assumption that L(n)=Var X_1+2 sum from n to j=2 Coy(X_1,X_j) is a slowing varying function at infinity.
对于均值为零的平稳相伴随机变量序列,首先证明了在L(n)=EX_1~2+ 2 sum from n to j=2 Cov(X_1,X_j)是一个缓变函数的条件下的泛函型几乎处处中心极限定理。
4) weakly dependent random variable
弱相依随机变量
5) the equality of random variable
随机变量相等
1.
In this paper, we obtain that the equality of random variables distributing on finite interval is equivalent to the equality of its original moment.
本文证得分布于有限区间上的随机变量相等的充要条件为其各阶原点矩相等。
6) dependent random variables
相依随机变量
1.
In this article, we discuss the convergence rate of the invariance principle for dependent random variables and improve the results of Utev(1984) etc, in which the assumption of stationarity is eliminated and the rate of ?(n) is weakened to ?(n) = O(n-(3+)δ/2(3-δ))) for 0<δ<3 and any ε>0.
在本文中,我们讨论了相依随机变量的弱不变原理的收敛速度,改进了Utev(1984)等人的结果,那里平稳性的假设被去掉了且减弱了混合的速度为(n)=O(n~(-(3+c)o/2(3-8))(o<6<3)。
补充资料：相容随机过程
相容随机过程
stochastic process, compatible
相容随机过程【劝刘巨劝cp”x思活，.坷声恤触;c月”‘-”‘，‘npo”ecc co~0.aMH“‘]，适应随机过程(adap-ted stocll乏巧ticp~) 一族定义在具有递增子6域(‘抓三‘约族F=(「长)。;。的可测空间(Q，L约上的随机变量X=(X，(。)):，。，使得对每一t)0，戈是气可测的‘为强调这类过程的这一性质常使用记号 x=(戈，‘气)，，。或 X=(戈，L叽)，并且说x是F适应的(F~adaP刊)，或者适应于族F=(气):，。，或X是一适应过程.相应的定义也可用在离散时间的情形，这时“适应过程”有时也称为“适应序列”.【补注】其他参考文献见随机过程(stocbastiC Pl翔工邵).
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