查询词典 experimental probability

Using assumed explained variable condition, applying the maximum entropy principle and with the condition probability distribution complying with that of sample data and prior distribution, the author finally estimates an optimal conditional probability density of the LGD.

利用假定的解释变量条件，应用最大熵原理，并要求所估计的条件概率分布一致于样本数据和先验分布，最终对违约损失率估计出最佳的条件概率密度。

The conditional probability density functions of daily precipitation in 16 stations of Guangxi in Summer are estimated and then the probability distributions of maximum amount of daily precipitation in 1-20 days are recurrented by using daily amount of precipitation data set.

对广西16站用6、7月逐日降水量资料估计了日降水量的条件概率密度函数，并递推得1-20天内最大日降水量的概率分布。

This paper tries to discuss the probability, conditional probability and conditional expectation on MV-algebra of fuzzy sets.

为此，本文试图建立一套较完备的关于MV-代数中的概率、条件概率和条件期望的理论体系。

This paper mainly introduces a new method to approximating the failure probability of structural systems and the method is defined as dimensions reduction method by conditional probability .

本文主要介绍一种新的结构体系失效概率近似计算的方法——条件概率降维法。

The second step is to evaluate for BN, decide prior probability and conditional probability.

再为贝叶斯网络赋值，确定先验概率和条件概率。

The book will give a detailed treatment of conditional expectation and probability, a topic which in principle belongs to probability theory, but is essential as a tool for stochastic processes.

书将给详细的处理有条件的预期和可能性，原则上属于概率论的一个题目，但是象随机的过程的一件工具一样必要

Firstly, the random scene of fire was assumed. And then according to the probability distributions of the random parameters of fire in the building, a large number of samples were obtained using mixed congruence method and inverse function method of Monte-Carlo. Finally, the performance of the samples was simulated using Ozone, and the failure probability of the structure in fire was analyzed.

该模型首先确定火灾随机场景，根据建筑物内火灾随机参数的概率分布，利用蒙特卡洛的混合同余法和反函数法产生火灾随机场景的抽样样本，然后利用OZone软件进行火灾下抽样样本的性能模拟，通过大量样本的模拟实现了结构在火灾下的失效概率分析。

In view of continuous function problems, it is first proved that the-ES algorithm based on uniform distribution converges in probability in a weaker condition by means of the central limit theorem. Then it is proved that the-ES algorithm which adopts the general continuous random variables as its variable operators converges in probability.

针对连续函数优化问题，利用中心极限定理，在较弱的条件下，首先证明了基于均匀分布的-ES算法依概率收效，然后给出了采用一般连续性随机变量作为变异算子的-ES算法依概率收效的证明。

Normal distribution in statistics is based on the probability density function in the form of representation, and set up a continuous random variable X, the probability density function f has the form of Figure 1, where a, b are constants and were known as the average value and standard deviation,π, e, respectively pi and natural constants, claimed that X subject to parameters a, b of the normal distribution.

正态分布在统计学中是以概率密度函数的形式表述的，设连续型随机变量X的概率密度函数f有图1中的形式，其中a、b为常数，分别被称为平均值和标准差，π、e 分别为圆周率和自然常数，则称X服从参数为a，b的正态分布。

In view of continuous function problems,it is first proved that the-ES algorithm based on uniform distribution converges in probability in a weaker condition by means of the central limit theorem.Then it is proved that the-ES algorithm which adopts the general continuous random variables as its variable operators converges in probability.

针对连续函数优化问题，利用中心极限定理，在较弱的条件下，首先证明了基于均匀分布的-ES算法依概率收敛，然后给出了采用一般连续性随机变量作为变异算子的-ES算法依概率收敛的证明。

More direct, directer ; most direct, directest

径直的，笔直的

Do you know how to use a chain saw?

你知道如何使用链锯吗？