随机变量函数

连续型随机变量函数的期望和方差的近似计算

The Approximate Calculation of the Expectation and Variance of Continuous Random Variable Functions

将一元随机变量函数f（X）（依概率）的最优幂级数逼近的若干结果进行了推广。论证了多元随机变量函数f（X，Y）在上述意义下的几个充分条件及其推论。

Some sufficient conditions are given for the best power series press towards the random variable function f ( X , Y ) for probablity .

然后，引用计算随机变量函数概率分布的方法，导出桩基抽样不合格率γ的概率分布p（n，N）（γ）和数字特征的计算公式。

Subsequently , the probability distribution method of random variable function is used to derive the formulae of probability distribution and statistic expectation of the defective rate of piles in testing the overall quality of a pile foundation .

研究了基于单反射椭圆模型的多径信道模型原理，根据随机变量函数的变换原理，推导了由均匀分布的随机变量样本得到TOA、DOA样本的仿真原理。

In this paper , the principle of geometrically based single bounce elliptical model ( GBSBEM ) was researched . On the basis of stochastic variable function transform theory we deduced the TOA and DOA simulation principle from a uniform distribution stochastic variable .

多维连续型随机变量函数的分布密度的计算法

A Computation of Dispersion Density of Multidimensional Continuous Random Variable Function

随机变量函数分布的教学实践与探索

Some Experiences in Teaching Course of Distribution for Function of Variables

用换元法求连续型随机变量函数分布的两个问题

Two Problems in Finding the Distribution , of Continuous Random Variable Function by Substitution

二维连续型随机变量函数的分布的线积分算法

The Linear Integral calculation Method for the Distribution of Two dimensional Continuous Random Varible Function

随机变量函数分布的收敛速度

Distribution convergence rate of random variables functions

一维连续型随机变量函数分布的理论研究

Theoretical Discussion of One-dimensional Continuous Random Variable

用蒙特卡罗法求多维随机变量函数的统计特征值

To Solve Statistic Characteristic Value of Function of Higher Dimensional Arbitrary Distributional Random Variate by Monte-Carlo Simulation

解决二维连续型随机变量函数分布的一种方法

One method to seek the solutions of the distributional function for the continuous stochastic variable of two-dimension

两个n维随机变量函数的概率密度的求法

The Method of How to Solve the Probability Density of Two Function which is n Dimension Random Variable

求随机变量函数的分布是概率论中的一个重要课题，无论是在理论还是在应用上都有着十分重要的意义。

Solving the distribution of random variable function which is of great significance whether in theory or in application is an important question in probability theory .

首先基于全寿命试验数据和随机变量函数分布的理论推导出加速因子的先验分布；

Firstly , according to the complete life test data and the theory of distribution for function of the random variable , the prior distribution of accelerated factor is presented .

分析了一种基于单反射的椭圆模型的多径信道，根据随机变量函数的概率分布理论设计了一种这种信道模型的仿真方法。

A geometrically based single bounce elliptical ( GBSBE ) multiple channel model is analyzed in this dissertation , based on probability distribution theory of stochastic variable function , a simulative method of this channel model is designed .

依据概率测度收敛的定义给出了随机变量函数的导数的求法，并给出了径向基函数神经网络在逼近函数的过程中，对各个输入变量的敏感性的计算式。

Provide random variable law of asking of derivative of function according to probability definition disappeared to estimate , provide the base function nerve network of the radial during the process of approaching the function , calculation type to each sensitivity of inputting the variable .

我们先给R上的随机变量分布函数的全体所成的空间赋以适当的距离，使它形成一个距离空间，然后使这个距离空间完备化。

At first , we make the space of distribution functions of random variables a distance space after enduing it a proper distance , then making it a complete distance space .

关于连续型随机变量分布函数一些重要性质的证明

A Note on the Quality of Consecutive Random Variable Distribution Functions

一维与二维连续随机变量的函数的分布

Distribution of continuous random variable of one and two dimentions

关于求随机变量的函数的分布的探讨

Study on distribution of the function of random variable

随机变量的函数的数学期望

Mathematical Average Value of the Function of Random Variable

随机变量分布函数的富里埃-司蒂阶变换

Fourier-Stieltjes Transform of Distribution Function of Random Variable

随机变量分布函数的讨论

Discussion on Distribution Function of Random Variable

连续型随机变量的函数还是连续型随机变量吗？

Do The Function of A Continuous Type of Random Variable Also Belong To One ?

机械系统的应力和强度往往是n维随机变量的函数，可靠度难以求出。

The functional relationship is usually complex when the random variables composing the strength and stress of a given system are n normal .

连续型二维随机变量线性函数和的概率密度的简单求法

A Simple Solving Method of the Probability Density Function with Respect to the Sum of the Linear Function on the Continuous Two-Dimensional Random Variables

本文对随机变量分布函数两种不同定义进行了比较，指出了不同定义的分布函数其性质上的差异。

This article the compares the two kinds of different definitions of random variable distribution function and shows nature differences of distribution function in different definitions .

本论文利用母函数和网微分法得到任意随机变量多元函数序列的强偏差定理；

A strong deviation theorem of multivariate function sequences of arbitrary random variables is obtained by using moment generating functions and differentiation of measures on a net .

随后提出了随机变量信息函数所应满足的4个条件。在此基础上，导出了度量离散随机变量信息的一种新方法，并证明了其函数形式的唯一性。

Four conditions the random variable information function should satisfy are proposed subsequently , on which , a new method is deduced to measure discrete random variable information and the exclusiveness of its function is demonstrated .