stochastic variable

The Method of How to Continue the Disperse Stochastic Variable

离散型随机变量连续化处理的方法

The extremum distribution of stochastic variable can be obtained by spectral analysis .

随机变量的极值分布可以通过对水位监测数据进行频谱分析获得。

The Fuzzy reliability design making up of fuzzy variable with the stochastic variable

随机变量和模糊变量组合时的模糊可靠性设计

Linear potential structure equation is limit to study the continuous stochastic variable yet .

线性潜在结构方程式模型还仅限于研究连续型随机变量，对于各领域大量出现的离散型随机变量，还没有适用的线性结构方程式模型。

Guidance Law of Maneuvering Reentry Warhead Based on Stochastic Variable Structure Control Theory

基于随机变结构控制理论的再入弹头制导律

Pad é Approximation of Power Series with Stochastic Variable Coefficient

随机变量系数幂级数的Padé逼近

Load uncertainty in power system is regarded as stochastic variable or fuzzy number in this paper .

同时采用随机变量及模糊数计及电力系统运行中负荷的不确定性。

So it is the important subject in probability to study the independence of stochastic variable .

因而，关于随机变量的独立性的研究构成了概率的重要课题。

In fact many with the volume of traffic correlation factor is mostly the stochastic variable .

实际上许多跟交通量相关的因素大多是随机的变量。

As it actually has fluctuation , the demand is treated as stochastic variable .

由于实际中需求具有波动性，将需求作为随机变量来处理。

If either of strength and stress is stochastic variable and another is fuzzy variable , the .

当强度和应力之一为随机变量，另一个为模糊变量时，提出将模糊变量通过模糊集合截集转换为区间数，并假定模糊变量在此区间取值的可能性与相应的隶属函数值成正比。

A stochastic variable satisfying Bernoulli random binary distribution is introduced and a new system model is established .

通过引入一个满足贝努力分布的随机变量，建立了一个新的系统模型。

Fuzzy Stochastic Variable and Variational Principle

模糊随机变量及其变分原理

Market demand is a stochastic variable which brings difficulty for most profit by ordering right goods .

市场需求量是一个随机变量，它给订货者追求最大利润，确定最优订货量带来了困难。

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

解决二维连续型随机变量函数分布的一种方法

Commonly-used methods and Technigues in demonstrating mathematics expectation of stochastic variable

求随机变量数学期望的常见方法和技巧

The stochastic variable model of construction timing selection of rail transit projects based on real option was built up .

建立城市轨道交通项目建设时机选择的实物期权随机变量模型。

When they are being done two situations of just one stochastic variable and comprehensive all stochastic variable ate considered .

在进行分析时，分别考虑单独随机变量以及综合各随机变量的情况。

Simulation uncertainty mitigated strategies for different cases mentioned above are presented by means of robust design and engineering stochastic variable optimization methods .

引入稳健设计哲理和工程随机变量优化设计方法，分别提出了对应的不确定管理策略；

This paper introduces the problems of some identical equation solved by the numerical characters of the classic probability and stochastic variable .

介绍了用古典概率和随机变量的数字特征来解决数学分析中的一些恒等式问题。

This paper analyses also the probability estimate problems under the conditions that return series is correlated and return is multivariate stochastic variable .

本文对收益率序列存在相关性、收益率是多元随机变量情况下的尾概率估计问题也进行了分析。

Almost Supremum and Symmetry of Stochastic Variable

随机变量的几乎确界与对称性

Secondly , the output control model is offered , which is based on the idea that the ultimate requirement is an index stochastic variable .

二是提出了基于最终需求为指数型随机变量的产出量的控制模型。

By contrast , the paper calculated the reliability index of the abutment after changing variable quotiety of the stochastic variable .

作为对比，本文还在改变各随机变量变异系数的前提下，计算了坝肩岩体各高程的可靠指标。

The service life of structure is taken as a stochastic variable , the relationship among structral reliability , service life and design lifetime are studied ;

本文将工程结构寿命作为一个随机变量，分析了结构可靠度、结构使用寿命和设计基准期三者的关系；

It has three important properties : it has stationary and independent increments , and every increment is a normally distributed stochastic variable .

布朗运动具有三个基本性质：第一是独立增，第二是稳态增，第三是增量是服从正态分布的随机变量。

In most supply chain contract literatures , the customers ' demand is often hypothesized as an independent and exogenous stochastic variable .

在大多数供应链契约文献中，市场需求被假设为了一个独立的外生随机变量。

PMD in fiber is formed for the incomplete structure and the action of external stress on optical fiber and is a stochastic variable .

偏振模色散是由于光纤结构的不完美性以及外界应力作用而产生的，是一个服从麦克斯韦分布的随机量。

In order to disassembly parts from used products , usually many steps are needed , and disassembling time in each step is stochastic variable .

对废旧产品中的零件进行拆卸通常需要多个步骤才能完成，而每个步骤所需要的拆卸时间都是随机变化的。

A discrete method for stochastic variable ( features ) space of class-conditional-probability density and estimation method for class-conditional-probability distribution is proposed .

本文提出了类条件概率密度随机变量（特征）空间离散化及类条件概率分布估计方法。