Now let's discuss Sensitivity Analysis and Monte Carlo Simulation.

现在让我们开始讨论敏感性分析和蒙特卡洛模拟。

The PMI (Project Management Institute) defines Monte Carlo Simulation as.

PMI(项目管理协会)是这样定义蒙特卡洛模拟的。

Finally, improved control chart constants are given by Monte Carlo simulation.

最后，用蒙特卡洛方法给出了改进的控制图常数。

The detailed process and method of Monte Carlo simulation calculation are presented.

详细叙述了蒙特卡洛模拟计算的具体过程和方法。

The most frequently used method is the Monte Carlo Simulation (which I will discuss later).

使用最频繁的方法是蒙特卡罗模拟法(我将在后面讨论)。

Monte Carlo simulation is a method of random simulation, random sampling or statistical testing.

蒙特卡罗方法是一类通过随机变量统计试验，随机模拟以求得问题近似解的方法。

Cpm; Confidence intervals; Mathematical programming; Monte Carlo simulation; Coverage percentage.

信赖区间； 数学规划； 蒙地卡罗模拟法； 涵盖率。

The streamer corona discharge in the experiment system was simulated with Monte Carlo simulation.

采用蒙特卡罗法针对本文实验系统进行了流光电晕放电的模拟。

Evidence from a randomized controlled efficacy trial was evaluated using standard Monte Carlo simulation.

使用标准的蒙特卡罗模拟法对从一项随机、对照的功效试验得到的数据进行了评估。

A pricing model is made under least square Monte Carlo simulation, and the simulation results are given.

本文用最小二乘蒙特卡罗模拟，建立了计算保单价值的模型，给出了模拟计算结果。

Monte Carlo simulation results show the efficiency and high location precision of the proposed algorithm.

通过蒙特卡罗模拟，证明了该算法的有效性和定位精度较高。

The single-factor model and Monte Carlo simulation are applied to the measurement of portfolio credit risk.

将单因素模型和蒙特卡罗模拟应用于我国商业银行组合信用风险度量的具体实践；

In Section v, Monte Carlo simulation results are provided for the new estimator and compared with other methods.

在第五部分中，蒙特卡洛模拟结果提供了新的估计并且还与其他方法做了比较。

A Monte Carlo Simulation involves the use of random Numbers and probability to find solutions to complex problems.

蒙特卡洛模拟涉及了使用随机数和概率来找到复杂问题的解决方案。

Monte Carlo Simulation is a technique that involves using random Numbers and probability to find solutions to complex problems.

蒙特卡罗模拟法是一项涉及使用随机数和概率来寻找复杂问题的解决方案的技术。

Monte Carlo simulation provides an alternate way to quantify the effects of inhomogeneous field gradients used in MRI and NMR.

蒙特卡罗模拟提供了一种定性研究MRI和NMR中非均匀场梯度扩散衰减的方法。

Importance sampling technique is an effective variance reduction technique in Monte Carlo simulation method for pricing options.

在期权定价的蒙特卡罗模拟中，重要性抽样是一种有效的方差减小技术。

The Monte Carlo simulation is performed for a cluster consisting of a neutral valine molecule surrounded by 115 water molecules.

本文对由115个水分子包围一个中性缬氨酸分子所组成的分子集团做了蒙特卡罗模拟。

So a Monte Carlo simulation uses essentially random inputs (within realistic limits) to model the system and produce probable outcomes.

于是 Monte Carlo 法使用基本上是随机的输入（带有一些现实的限制）去为系统建模，并产生可能的结果。

We adopt Monte Carlo simulation method, which makes the statistics amount of gross profit, cost and opportunity loss as fitness function.

应用蒙特卡罗方法，将利润、成本和机会损失的统计量作为适应值函数。

To get a handle on a Monte Carlo simulation, first consider a scenario where we do not need one: to predict events in a simple, linear system.

要理解Monte carlo法，首先考虑一个实际上并无必要的场景：预测一个简单线性系统中的事件。

It is seen that hierarchical Bayesian estimation is more efficient than maximum likelihood estimation through Monte Carlo simulation and an example.

通过蒙特卡罗模拟和实例表明多层贝叶斯估计比最大似然估计更加有效。

To avoid complex computation in Monte Carlo simulation for electron scattering in solid, a new matrix equation to describe the process is presented.

用蒙特卡罗方法模拟固体中电子散射的计算量很大，为此给出一个描述这一过程的矩阵方程。

This article chooses the immune algorithm as the basic method to resolve the problem and USES Monte Carlo simulation to transform the risk restriction.

本文选择了免疫算法作为基本算法求解模型，并使用蒙特卡罗方法对风险约束进行转化。

In terms of average energy distribution of air gap with Monte Carlo simulation, the corresponding voltage to dissociate the given covalent bond is indicated.

结合蒙特卡罗模拟出的气隙空间电子平均能量分布，指出了断裂特定共价键所需输入的电压值。

In the field of bioluminescence imaging, in order to accelerate simulation speed, a parallel code for Monte Carlo simulation of photon transport is developed.

在生物自发光成像领域，将基于蒙特卡罗方法的光子前向传输仿真进行并行化，提高了仿真的速度。

In Monte Carlo simulation such as the measurement uncertainty evaluation, it is often necessary to generate correlated multi-non-Gaussian random observations.

在用蒙特卡罗法进行仿真研究(例如进行测量不确定度评定)时，常常需要发生多个非高斯型互相关的随机数。