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probability distribution function相关的网络例句

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In this paper the method of combinational mathematics is used to deduce the probability generation function of the longest run in the Bernoulli trials,and get the probability generation function without using its probability function of kth order geometric distribution.

游程及其相关理论广泛地应用于随机检验、质量控制、DNA数据分析等许多领域,提出使用组合数学的方法推导出贝努利试验中最长游程的概率发生函数的计算公式,利用所得到的结果可以不用k阶几何分布的概率函数而很容易地得出它的概率发生函数。

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。

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。

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。

I have calculated the species diversity for 3 layers (i.e. tree layer, shrub layer and herb layer) by means of various biodiversity index formulas and analyzed the relative species abundance using 9 models of the probability density distribution functions, such as, 3 Distribution (or Beta Distribution, Weibull Distribution, Lognormal Distribution, Poisson Distribution, Binomial Distribution, Negative Binomial Distribution ,Geometric Distribution, etc.. chi-square analyses were conducted on species distribution by using the chi-square test formulated by Pearson to test which distribution function is better, the result of chi square test made it possible to reject the other 8 distribution functions, theβdistribution function performs better than other probability density functions, it has a very close approximation, which can be used for the description of relative abundances of species in forest communities in this data set.

在相对多度研究上选用了九种概率分布模型,这九种概率密度分布函数依次为:贝塔分布、Weibull分布、对数正态分布、泊松分布、二项分布、负二项分布、几何分布、对数分布和奈曼A型分布,并进行了严格的卡方检验,结果表明:其它八种分布均被遭到拒绝,只有贝塔分布获得了通过,且拟合的结果非常理想。

Based on the definition of marginal cost and the technology of probabilistic costing,this paper provides a method for forecasting the expected value and probability distribution function of the short\|run marginal cost of power generation for a given time interval.

基于边际成本的定义和随机生产模拟技术,提出一种短期发电边际成本的概率学预测方法,不仅能给出发电边际成本的均值,而且能得到其概率分布函数。

We use β likelihood estimation instead of maximum likelihood estimation to estimate the parameters of data's probability distribution function (modeled by Gaussian mixture models).

在确定数据所服从分布的密度函数的参数时,使用β似然估计来代替原模型中的最大似然估计。

We use the approximate distribution comes from probability generating function of CreditRisk+ to value the CDO under the single sector factor and multi-sector factors scenarios. For single sector factor model, we discuss the sensitive analysis of CDO fair spread by different default probability, default correlation and loss given default. For multi-sector factors model, we exam the CDO fair spread based on different sector correlation assumption, such as Gamma distribution in moment match method, multivariate Gamma distribution and compound Gamma distribution.

本文在信用风险加成模型之下,利用机率产生函数的近似分配评价抵押债务债券,并考虑单一部门因子与多个部门因子,单一部门因子中,在不同违约机率、违约相关系数和违约损失率下,探讨抵押债务债券公平价差之敏感度分析;多个部门因子中,在不同相关性部门因子分配假设下,如动差配适法的伽玛分配、多维伽玛分配、复合伽玛分配,探讨抵押债务债券公平价差之方法结果比较。

To hydrological system, the samples of the hydrological factors are not sufficient, and the infection factors that formated is complex, the suppose of the probability distribution function that accord with the practical condition then undergo parameters estimation are impossible.

特别是对水文系统,各种水文要素的样本不多,且其形成的影响因素复杂,要假设出合乎实际情况的概率分布函数并进行参数估计是比较困难的。

The probability distribution function and the corresponding statistical parameters of sharing ratio of internal pressure in bedrock for embedded penstocks in terms of design reference per.

根据已搜集到的国内外部分水电站地下埋管围岩内压分担率的实测数据,利用统计数学中的K-S法和A-D法等检验方法进行了统计分析和分布假设检验,求得了水电站地下埋管围岩内压分担率在设计基准期内的概率分布函数及其统计参数,证明其最优概率分布函数可用对数正态分布来拟合。

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