- 更多网络例句与概率相关的网络例句 [注：此内容来源于网络，仅供参考]
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Then we use the diagram of Venn to analyse and predigest the theorem proof. And it is also used in probability addition and multiply、conditional probability、total probability formula、 Bayes formula to simplify the calculation of probability. So it is easy to understand and master.
进而利用Venn图分析、简化概率性质的证明以及Venn图在概率的加法与乘法、条件概率、全概率公式和贝叶斯公式中的应用，简化概率的计算，便于学习者理解和掌握。
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Events,Operation and Relation of Sets, Classical Probability, Geometrical Probability , Statistical Stability of a Frequency, Axioms of Probability, Conditional Probability, Total Probability Theorem, Bayes' Rule,Independent Events,Independent Repeated Trials, One Dimensional Random Variables, Discrete Random Variables, Distribution Function of a Random Variables , Continuous Random Variables, Normal Distribution, Distribution of a Function of a Random Variable, Multidimensional Random Variables, Joint Distribution Function, Marginal Distribution Function,Discrete Two—Dimensional Random Variables,Continuous Two—Dimensional Random Variables, Independent Random Variables, Distribution of Functions of Random Variables,Expectation,Variance, Covariance, Coefficient of Correlation, Bivariate Normal Distribution, Law of Large Numbers, The Central Limit Theorems, Sample and Population ,Chi—Squared, T and F Distributions , Sampling Distributions , Point Estimation , Interval Estimation , Testing Hypotheses , A Test of Significance for Parameters in a Single Sample From a Normally Distributed Population , A Test of Significance for Parameters in Two Sample From Normally Distributed Populations .
本课程的主要内容：概率的概念与运算、随机变量及其分布、随机变量的数字特征与极限定理、数理统计的基本概念、估计和检验的基本方法，随机事件与概率随机事件、事件的关系与运算、几何概率、统计概率等，条件概率、全概率公式、贝叶斯公式、事件的独立性、二项概率公式，随机变量的概念、离散型随机变量、随机变量的分布函数、连续型随机变量、随机变量函数的分布，多维随机变量及其分布函数、边缘分布函数、随机变量的独立性、二维随机变量函数的分布，数学期望、方差、协方差和相关系数、大数定律、中心极限定理，总体与样本， X 2-分布、 t-分布和 F-分布，统计量及抽样分布，假设检验的基本概念、单个正态总体参数的显著性检验、两个正态总体参数的显著性检验。
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By this method,the estimated values of CEP and its confidence limits are calculated.
该方法给出同一批次惯组圆概率偏差及其置信上、下限的估计值，并根据圆概率偏差估计值和圆概率偏差战术指标要求值，给出圆概率偏差的保障概率，来评估某个批次的捷联惯组是否达到设计要求。
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Analysis for testability is widely used in DFT and test pattern generation, but most testability analysis algorithms have the shortcoming of either inaccuracy or being too complicated. A new method to calculate the signal probabilities of the nodes in IC is pre-sented in Chapter 7 of this dissertation. The signal probabilities by our method is more exact than by the previous ones. A symbol of the signal probability at the fan-out node is created and is propagated to the RFON (Reconvergent Fan-out Nodes). At the RFON, the expression containing the symbol is simplified using the rule which corresponds to the law of identity in Boolean algebra. After the expression is simplified, the symbol is substituted with its numeric value. Theoretical analysis shows that this method is concise and has a low computing complexity.
可测试性分析在可测试性设计和测试生成中都有着广泛的应用，然而大部分的可测性分析方法都存在不精确或者过于复杂的毛病，在第七章中作者提出了一种新的计算IC电路节点的信号概率值的符号算法，该算法得出的信号概率值比用以往的算法法得出的要更准确，也更简洁，针对电路中的扇出节点重汇聚现象，我们在每一个扇出节点定义了一个信号概率的符号，在以后的计算中一直使用该符号参与计算，直到该符号传播至重汇聚处，利用一定的规则把含符号的表达式化简，再将符号的真实值代入，在计算符号概率的过程中定义了一个和布尔代数中的同一律相对应的运算规则，通过该运算规则，使得信号概率的结果更加准确，符号算法具有简洁方便，计算复杂度小的特点 4。
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Probability and Impact Matrix Tool 概率与影响矩阵 A common way to determine whether a risk is considered low, moderate, or high by combining the two dimensions of a risk: its probability of occurrence, and its impact on objectives if it occurs.
将风险的两个方面，即风险的发生概率以及一旦风险发生对目标产生的影响结合起来考虑，以判断风险属于较小、中等还是较大的一种普通方法。
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Firstly,the classification of probability rule is analyzed on the base of classic rough set concepts and extended to the equal relation of set in the indefinite system,namely,the upper and lower approximation space of research set is expressed in the form of conditional probability;then,according to the measure of probability rule,the attributes reduction is carried out and the classification rule is extracted by using the related parameters of condition attributes' impend precision from the angle of conditional probability;Finally,the related simulation test result is given and the result shows the classification rules with probability measures is more rational.
首先在经典粗糙集概念的基础上分析概率规则的分类，并将其推广到不确定系统的集合等价关系中，即用条件概率的形式表示研究集合的上下近似空间；然后根据概率规则的测度从条件概率的角度利用条件属性的逼近精度的相关参数进行属性集的约简进而提取分类规则；最后给出了相关的仿真实验结果，结果表明带有概率测度的分类规则更合理。
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Chapter 1 we introduce the risk process with positive and negative risk sums,show the background of the risk process. Chapter 2 we show the integral and differential equation of birth probability,give the Lundberg inequation that the ruin probability satisfies with martingale approach,then discuss then ruin probability of the risk process with two dependent positive and negative risk sums,study how the dependence impacts on the ruin probability. Chapter 3 we compare the concrete examples by numbers,and makes further comparison between the two results coming out of independency and dependency,with the purpose of narrating their respective impacts on the probability of ruin probability.
本文第一章引入含正、负风险和的风险模型，介绍风险过程的实际背景；第二章给出生存概率Φ所满足的积分-微分方程，利用典型鞅方法给出破产概率Ψ满足的Lundberg不等式，并且讨论两个相关正、负风险和模型的破产概率，研究相关性对破产概率的影响；第三章对具体实例给出数值比较，进一步把相关性和独立性两种情形的结果进行比较，说明对破产概率的影响。
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Based on the interval probability and the second fuzzy probability, go a step further the definition and characters of random variables with the third fuzzy probability and the fuzzy distribution function and fuzzy probability distribution sequence were put forward.,the definition and characters of mathematical expectation and variance were studied also.
在区间概率和第二类模糊概率的基础上，进一步给出了具有第三类模糊概率的随机变量及其模糊分布函数和模糊分布列的定义和性质，并研究了模糊概率随机变量的模糊数学期望和模糊方差的定义和性质，进一步完善了模糊概率理论。
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The aim of this paper is to answer the query on the foundation of quantum mechanics advanced by Tao Zongying in articles,Acta Mathematica Scientia,1982,2(2):183～192 and Acta Photonica Sinica,1997,26(9):769～770.It is shown,based on the globalism concept in quantum mechanics,that Landau and Lifshitz′s momentum probability distribution function of a particle in a one dimensional infinitely deep square potential well is correct,and that Pauli and other′s distribution function is incorrect.The problem of mome...
本文回答了文献1～2对量子力学提出的疑问基于量子力学的整体性概念指出，Landau和Lifshitz给出的一维无限深方势阱中粒子的动能概率分布函数是正确的，Pauli等人给出的概率分布函数是不正确的从量子测量理论的角度讨论了一维谐振子的动量概率分布问题，并且指出势能大于本征能量的概率不为零并不表示存在负动能的概率分布区域
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Then we introduced transition probability kernel for the hidden state process and the confederated process. In the deep research, we found that some similar parameters of state transition probability, observation symbol probability and initial state probability were involved in the transition probability kernel of the confederated process. So we can complete the training of traditional HMM parameters by training the transition probability kernel of the confederated process. To our surprised, we got the consistency of transition probability kernel of the confederated process. Meanwhile, we proved the rationality and reliability of the parameters estimation equations under the classical B-W algorithm.
然后对联合过程的转移概率核展开研究，我们根据过程的取值空间的不同，引入了隐状态空间和联合过程空间上的转移概率核，研究中发现在联合空间上的转移概率核包含了在一般的隐马氏模型的参数估计中的所有类似的三组参数(转移概率，观测概率和初始概率)，因此对传统的隐马氏模型的参数训练我们可以通过联合过程的转移概率核的训练来完成，更令我们惊奇的是联合过程的转移概率核还具有一致性；同时对于Baum提出的经典的B-W算法给出的关于模型的参数重估计公式，证明了它的合理性和可靠性，即模型经过重估计后的参数能够满足给定的单观测序列在模型下发生的概率是单调递增的。
- 更多网络解释与概率相关的网络解释 [注：此内容来源于网络，仅供参考]
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binomial probability paper：二项概率纸,二项式概率坐标纸
binomial probability distribution 二项式概率分布 | binomial probability paper 二项概率纸,二项式概率坐标纸 | binomial series 二项级数
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CEPT CircularErrorProbability：循环误差概率,圆形误差概率
CEB CircularErrorAverage 平均循环误差 | CEPT CircularErrorProbability 循环误差概率,圆形误差概率 | CPE CircularProbableError 循环概率误差
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Conditional probability：条件概率
咨询者为30岁时,如果他携带有Hc基因,他尚有2/3的机会发病,而如果他未携带此基因将不会发病,这种概率称为条件概率(conditional probability). 此咨询者患Hc的总概率或后概率(posterior probability)可计算如表12-1. (3)X连锁隐性遗传:按孟德尔分离律,
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Chocobo Lure：增加遇到陆行鸟的概率. 概率与级别有关
Enemy Lure:增加遇敌的概率. 概率与级别有关. | Chocobo Lure:增加遇到陆行鸟的概率. 概率与级别有关. | Pre-Emptive:增加背后偷袭敌人的概率. 概率与级别有关.
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Enemy Lure：增加遇敌的概率. 概率与级别有关
Exp Plus:增加战胜敌人后角色获得经验的数量. 增加量与级别有关. | Enemy Lure:增加遇敌的概率. 概率与级别有关. | Chocobo Lure:增加遇到陆行鸟的概率. 概率与级别有关.
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Pre-Emptive：增加背后偷袭敌人的概率. 概率与级别有关
Chocobo Lure:增加遇到陆行鸟的概率. 概率与级别有关. | Pre-Emptive:增加背后偷袭敌人的概率. 概率与级别有关. | Long Range:使近程攻击的角色具有远程攻击的效果.
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probability distribution analyzer：概率分布分析器概率分布分析仪
probability density function 概率密度函数 | probability distribution analyzer 概率分布分析器概率分布分析仪 | probability distribution function 概率分布函数
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Probability of Occurrence：事故概率,出现概率
probability of malfunction 故障概率,误动作概率 | probability of occurrence 事故概率,出现概率 | probability of stability 稳态概率
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probability sampling：概率抽样
1.1.1 概率抽样(probability sampling)也称随机抽样. 与非概率抽样不同的是概率抽样是严格地按照给定的概率来抽取样本. 随机原则不等于等概率原则. 估计量不仅与样本观测值有关,也与其入样概率有关. 需要说明的是以下概念都是指概率抽样.
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概率抽样法 probability sampling 概率抽样法：probability sampling
3004 1 probability distribution 概率分布 probability distribution 概率... | 3005 1 probability sampling 概率抽样法 probability sampling 概率抽样法 | 3006 1 procedure audit 程序审计 procedure audit 程序...