前人给出了泊松随机测度的经典结果。
Some writers gave a classical results of Poisson Random measure.
实验结果表明，标识字段比特流随机测度值随着比特流长度的增加整体上呈递减趋势。
The result of the experiment shows that with the increase of the length, the random metric of bit flow tends to reduce gradually.
混合泊松随机测度正是其一个精确刻划，记录值可形成泊松随机测度，而记录时间可用泊松随机过程很好地逼近。
Mixed Poisson Random Measure is its accurate description. The record values form a Poisson Measure and the record times are asymptotically Poisson stochastic process.
对相同长度的比特流而言，右优先比特流随机测度值普遍最高，左优先比特流随机测度值普遍最低，其它位置比特流随机测度值普遍介于两者之间。
In respect of the same length of the bit flow , right priority random metric is universally the highest, and the left priority one is universally the lowest with others between the two.
本文首先分析了当前模拟信号随机性测试技术，通过比较，说明使用熵测度对信号的随机性进行评价更加准确与科学。
Firstly, this paper analyzes the current analog signal random testing technology, and describes using entropy measure is more accurate and scientific to estimate the randomicity of signal by contrast.
经典测度的弱收敛在经典概率论等随机数学理论中有着很重要的作用。
The weak convergences of classical measure play an important role in random mathematics theory such as the classical probability theory.
本文研究了随机环境中耦合空间上不变测度存在性问题，证明了一些存在性定理。
The exist of invariant measure in coupling space of random environments is studied in this paper.
本文研究了随机波动率模型的最小熵鞅测度和效用无差别定价。
This paper deals with the minimal entropy martingale measure and utility indifference pricing concerning a stochastic volatility model.
通过引入“可接受的”未来随机净价值和“不可接受的”头寸风险等概念，建立了一致风险测度公理体系。
We have established the risk measurement axiom system by defining the notions like acceptable future random net worth, unacceptable position.
基于不完备的随机波动率模型，本文给出了不同著名鞅测度下定价的大小顺序。
This paper orders option prices under different well known martingale measures in an incomplete stochastic volatility model.
基于随机集理论，根据虚警及漏测的情况，给出了目标的信任测度及其全局密度。
Based on random sets theory, false alarms and miss-detections in the background were considered, then, belief measure and its global density of targets were presented.
若一个随机模糊事件由定义在可测空间上的映射刻划，则可把已建立的基本公式用于求该事件发生的测度值。
If a fuzzy random event is described by the mapping on the measurable space, its measure value can be calculated by the basic formulations which have been set up.
该算法由三部分组成：距离测度计算、随机化检验和系统聚类。
It consists of three parts: calculation of distance measures, randomized testing, and hierarchical clustering.
本文引入了基于日内价格幅度与回报两个测度指标的随机波动率模型。
In this paper we propose to a stochastic volatility model based on daily returns and intra-daily high-low price range jointly.
系统做混沌运动，测度同步时系统的相位移是随机行走的，没有测度同步点与相锁定点的重合。
When the coupled systems are chaotic, that is, the largest Lyapunov exponent is positive, the measure synchronization does not go with the phase synchronization, the phase locking changes random walk.
讨论随机模糊下近似、上近似集的模糊概率与模糊信任测度、模糊似然测度之间的关系。
The relationship between fuzzy probability defined by lower approximation and upper approximation of random fuzzy sets and fuzzy belief measures, fuzzy plausibility measures is discussed.
本文引进了H -值半鞅测度，研究了其基本性质和与之相联系的随机积分。
We also study stochastic integrals with respect to ff-valued semimartingale random measures and introduce the concept of vague convergence of H-valued semimartingale random measures.
本文研究图g的子图空间g上的三类概率测度，它们分别刻画图的随机扩张树，随机扩张森林和随机连通子图。
We consider three types of probability measures on Q, the set of subgraphs of g, which govern a random spanning tree, a random spanning forest, and a random connected subgraph respectively.
本文讨论非线性随机离散系统状态估值问题的测度变换，推得系统的状态对于观测的条件分布律。
We obtain an explicit formulae for the conditional distribution laws of the state of the dynamical system with respect to the observed data.
给出基于模糊信任测度和模糊似然测度的随机模糊信息系统知识约简的方法。
The knowledge reduction method based on fuzzy belief measures and fuzzy plausibility measures are introduced.
利用中国股市数据进行的实证结果表明，与单测度指标的随机波动率模型相比，基于两个测度指标的随机波动率模型能更好地描述股票市场波动率和市场波动风险。
Empirical results on Chinese stock market indicate that stochastic volatility model based on the two index outperforms those based on one index in capturing volatility character and market risk.
分析了已有的序列线性复杂度分析方法，提出了用近似熵算法计算混沌运动的测度熵，作为衡量混沌伪随机序列复杂度的标准。
In this paper, the conventional pseudo-random sequence linear complexity is discussed, and a new criterion is proposed, based on the approximate entropy.
分析了已有的序列线性复杂度分析方法，提出了用近似熵算法计算混沌运动的测度熵，作为衡量混沌伪随机序列复杂度的标准。
In this paper, the conventional pseudo-random sequence linear complexity is discussed, and a new criterion is proposed, based on the approximate entropy.
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