二分类离散型变量,Binary and binomial Responses
1)Binary and binomial Responses二分类离散型变量
2)two dimensional random variable二维离散型随机变量
1.The independence oftwo dimensional random variable (X, Y) is defined by the equation F(x,y)=F X(x)·F Y(y), of which F(x,y),F X(x),F Y(y) are distribution functions to (X,Y),X and Y.二维离散型随机变量（Ｘ，Ｙ）相互独立的定义是：Ｆ（ｘ，ｙ）＝ＦＸ（ｘ）ＦＹ（ｙ）。
3)discrete random variable离散型随机变量
1.In a given period the seasonal goods can be ordered at a discount price,and the demand for the goods is an issue ofdiscrete random variable.讨论了在一个时期内商品的订购价格有折扣,而且该商品的需求量是离散型随机变量的订购问题,得出了使利润最大化的最佳订购量的计算方法。
2.In the paper, we have extended CVaR of linear portfolios aboutdiscrete random variable of scenario models in space of one dimension to CVaR of linear portfolios of multinomial distribution and multi-Poisson power distribution in the hyperspace.本文把离散型随机变量为一维情景预设模型时线性投资组合的CVaR推广到风险因子服从多项分布和多维Poisson分布时线性投资组合的CVaR;此外,利用CVaR与ES在随机变量可积时的相等关系推导出连续型风险因子服从多维逻辑斯特分布与多维指数幂分布时线性投资组合的CVaR;最后给出一种特殊的连续型风险因子线性投资组合的CVaR。
3.CVaR of linear portfolios aboutdiscrete random variable of scenario models in space of one dimension is been extended to CVaR of linear portfolios of multinomial distribution and multi-Poisson power distribution in the hyperspace.文章把离散型随机变量为一维情景预设模型时线性投资组合的 CVaR 推广到风险因子服从多项分布和多维 Poisson 分布时线性投资组合的 CVaR。
英文短句/例句
1.Separate Random Variable for Mutually Independent Distinction Method;离散型随机变量相互独立的判别方法
2.The Resolving Methods of the Discrete Random Variable Mathematical Expectation;离散型随机变量的数学期望分解求法
3.Dispersed Random Variables Extreme Value in Common Sequence of Distributions;离散型随机变量常见分布列中的极值
4.On Probability Distribution of Minimum and Maximum of Some Discrete Random Variable;一类离散型随机变量最值的概率分布
5.Conditional independence of the discrete random variables and its properties离散型随机变量的条件独立及其性质
6.On the Mathematical Expectation of the Application of Scattered Random Variable离散型随机变量的数学期望应用举例
7.Application of Discrete Type Random Variable Storage Model in the Replenishment Optimization;离散型随机变量存储模型在订货优化中的应用
8.On the Solution of Discrete Type Random Variable Probability with Matrix;用矩阵求解离散型随机变量的概率问题
9.A Kind of Long - Lost Type Changes with The Machine the Deal Distributes the Row Expects with Mathematics;一类离散型随机变量的分布列与数学期望
10.The counting method of ｋ-order central moment of three kinds of discrete random variable;三种离散型随机变量k阶中心矩递推计算方法
11.Application of Mathematical Expectation of a Discrete Random Variable in Law,Medicine and Economy;离散型随机变量的数学期望在法律、医学和经济等问题中的应用
12.Understanding of structure failure probability by application of combined probability distribution of discrete random variables应用离散型随机变量的联合概率分布理解结构失效概率
13.THE RANDOM STEP METHOD FOR MIXED DISCRETE CONTINUOUS VARIABLE OPTIMAL DESIGN混合离散变量优化设计的随机步长法
14.Finding the Distribution Law of a Two-dimension Random Vector by Form Method;用表格法求二维离散型随机向量函数的分布
15.Quantified Analyses of Coal Microstructure by Discrete Fractal Brownian Increment Random Field (DFBIR)离散分形布朗增量随机场模型在煤微结构定量分析中的应用
16.Duration and cost of each activity are dependent discrete random variables.假定活动周期和费用都是离散随机变量,两者相关.
17.The Six Sigma Black Belt should be able to compute expected values for continuous and discrete random variables.西格玛黑带应能计算出连续或离散随机变量的期望值。
18.On Another Numerical Characteristic of the Random Variable:Absolute Deviation;随机变量离散程度的另一个数字特征——绝对差的探讨
相关短句/例句
two dimensional random variable二维离散型随机变量
1.The independence oftwo dimensional random variable (X, Y) is defined by the equation F(x,y)=F X(x)·F Y(y), of which F(x,y),F X(x),F Y(y) are distribution functions to (X,Y),X and Y.二维离散型随机变量（Ｘ，Ｙ）相互独立的定义是：Ｆ（ｘ，ｙ）＝ＦＸ（ｘ）ＦＹ（ｙ）。
3)discrete random variable离散型随机变量
1.In a given period the seasonal goods can be ordered at a discount price,and the demand for the goods is an issue ofdiscrete random variable.讨论了在一个时期内商品的订购价格有折扣,而且该商品的需求量是离散型随机变量的订购问题,得出了使利润最大化的最佳订购量的计算方法。
2.In the paper, we have extended CVaR of linear portfolios aboutdiscrete random variable of scenario models in space of one dimension to CVaR of linear portfolios of multinomial distribution and multi-Poisson power distribution in the hyperspace.本文把离散型随机变量为一维情景预设模型时线性投资组合的CVaR推广到风险因子服从多项分布和多维Poisson分布时线性投资组合的CVaR;此外,利用CVaR与ES在随机变量可积时的相等关系推导出连续型风险因子服从多维逻辑斯特分布与多维指数幂分布时线性投资组合的CVaR;最后给出一种特殊的连续型风险因子线性投资组合的CVaR。
3.CVaR of linear portfolios aboutdiscrete random variable of scenario models in space of one dimension is been extended to CVaR of linear portfolios of multinomial distribution and multi-Poisson power distribution in the hyperspace.文章把离散型随机变量为一维情景预设模型时线性投资组合的 CVaR 推广到风险因子服从多项分布和多维 Poisson 分布时线性投资组合的 CVaR。
4)Discrete Type Random Variable离散型随机变量
1.In this paper, we study the distribution law of order statistic of discrete type random variable.本文论述了离散型随机变量的次序统计量的分布律及其有关推论 。
5)discrete random variables离散型随机变量
1.Conditional independence of thediscrete random variables and its properties离散型随机变量的条件独立及其性质
2.Understanding of structure failure probability by application of combined probability distribution ofdiscrete random variables应用离散型随机变量的联合概率分布理解结构失效概率
6)discrete type离散类型
延伸阅读
离散变量与连续变量分子式：CAS号：性质： 符号x如果能够表示对象集合S中的任意元素，就是变量。如果变量的域(即对象的集合S)是离散的，该变量就是离散变量；如果它的域是连续的，它就是连续变量。
