marginal distribution
英 [ˈmɑːdʒɪnl ˌdɪstrɪˈbjuːʃn]
美 [ˈmɑːrdʒɪnl ˌdɪstrɪˈbjuːʃn]
边际分配，边缘分布
双语例句
- Note that the obvious compatibility condition, namely, that this marginal probability distribution be in the same class as the one derived from the full-blown stochastic process, is not a requirement.
请注意，明显兼容性条件，即这一边缘概率分布是在同一个班的一名来自全套随机过程，不是一个要求。 - Query about Cambridge Capital Argument and Neoclassical Marginal Distribution Theory
“剑桥资本争论”与新古典边际分配论质疑 - Univariate marginal distribution algorithm ( UMDA) is a new evolutionary algorithm and is an efficient algorithm for complicate problem.
单变量边缘分布算法（UMDA）是一种新的进化算法，是求解复杂问题的一种有效算法。 - On the basis of taking the initial location as marginal distribution and the size as conditional distribution, a probability model describing the motion characteristics of droplet population on rotating stream tray was proposed, and then a droplet motion model was developed.
以液滴离开塔板的初始位置为边缘分布、液滴粒径为条件分布，用概率统计的方法来描述旋流塔板上液滴群运动的边界条件，进而提出其三维模型。 - TES ( Transform-Expend-Sample) process is an autocorrelation sequence with random marginal distribution and with a broad autocorrelation function.
TES（Transform-Expend-Sample）过程是一种自相关的随机变量序列。它具有任意的边缘分布和很宽范围的自相关函数。 - On Marginal Distribution of Self-Similar Processes with Stationary Increments
具有平稳增量的自相似过程的边缘分布 - A probability model of the movement characteristic of the droplet population has been proposed with the droplet size distribution being taken as marginal distribution and the initial velocity distribution as conditional distribution.
以液滴尺寸分布为边缘分布，抛射初速度为条件分布，得到了描述液滴群体运动特征的概率统计模型。 - The paper introduces the concept of sequential statistical variable, computes the distribution of sequential statistical variable by the relation between the joint distribution of multivariate random variable and its marginal distribution. Finally the example is given to illustrate the method.
介绍了顺序统计量的概念，并利用多元随机变量的联合分布与边缘分布之间关系，求出顺序统计量的分布，并通过实例加以描述。 - Copula approach is a powerful tool to study dependence structure of multiple random variables. Using this approach, we can consider marginal distribution from the joint distribution separately and can choose marginal distribution flexibly.
Copula方法作为研究相依结构的有力工具，对于多元分布函数，Copula方法将联合分布与边缘分布分开考虑，可以灵活选择边缘分布，并且不同的Copula函数代表着不同的相依结构。 - Differed from the normal multifractal model, the new model can match the marginal distribution of the source traffic at all the time-scales.
与普通的多重分形模型不同的是，新模型充分考虑了视频业务流在各个不同时间尺度的概率分布特性，确保其在不同的时间尺度上都能拟合源数据的分布。 - The marginal distribution method is used to transform the two-dimentional steller image to one-dimentional.
本文利用边缘分布的方法将二维星像转换到一维，比较了高斯拟合法、修正矩法、中值法和寻导法四种一维定心算法。 - How do we deduce the joint distribution from marginal distribution of each component? d ( independent identical distribution).
如何从各个分量的边际分布推出其联合分布哪？一方面，我们考虑违背序列的独立同分布要求。 - In this paper we have first proved that marginal distribution can not determine Union distribution.
本文首先证明了边缘分布不能决定联合分布这个基本事实。 - Research on the Algorithm of the Bivariate Marginal Distribution and Its Performance
二变量边缘分布算法及其性能研究 - At all time scales, this model shapes the scaling coefficients to match the marginal distribution of the source traffic.
改进的多重分形模型在各个时间尺度上都对小波系数依据源数据尺度系数的概率分布作了修正，确保模型能在不同的时间尺度上拟合源业务流的分布。 - The north marginal distribution boundary of many tropic marine organisms and the south distribution of some temperate marine species is just delimited in China seas.
许多热带海洋生物分布的北界和一些温带海洋生物分布的的南缘就在中国海域。 - In this paper are considered the stable linear processes whose system noise satisfies the infinitely divisible distribution. Under some simple conditions, the infinitely divisibility is proved for the marginal distribution of this linear processes, then the analytic expressions are obtained for the marginal distribution function.
本文研究系统噪声服从无穷可分分布的稳定线性过程，在简单的条件下，证明了该过程的边沿分布是无穷可分的，并给出边沿分布函数的解析表达式。 - Also the marginal distribution and Hurst exponent of traffic series are inadequate to determine the queueing performance.
而且，业务量序列的边际分布和Hurst参数仍不足以充分决定排队性能的好坏。 - Tests for Homogeneity of the Marginal Distribution in 2 × 2 table
2×2表配对资料的边际分布齐性检验方法 - Variance of the observed values are modified to simulate the copula, the tail of the empirical distribution of the marginal distribution or GPD, the other to fit the empirical distribution.
修正方差的观察值有Copula来模拟，其尾部边际分布用经验分布或者GPD分布，其他由经验分布来拟合。 - First of all, it is not subject to the marginal distribution of selection restrictions, so we can construct a plurality of flexible distribution of random variables, then separate the marginal distribution and the correlation to study.
首先，由于不受边缘分布选择的限制，本文可以构造灵活的多元分布，可以将随机变量的边缘分布和它们之间的相关结构分开来研究。 - Finally, there exists significant skewness in marginal distribution, as well as in dependence structure.
最后，边际分布和相关性结构中都存在显著的偏度。 - Copula function is a method which connects the joint distribution and marginal distribution, so Copula function is often called connected function.
Copula函数是一种将联合分布与它们各自边缘分布连接在一起的函数，所以也被称作连接函数。 - It is constructed using the joint distribution function, distribution function from the edge of the restrictions and it can take random vectors of the marginal distribution function and its dependency structure to be studied separately.
运用它构造联合分布函数时可以不受边缘分布函数的局限，可以将金融数据的边缘分布函数及其相关结构分离独立研究。 - Yields marginal distribution model can be used to build more accurate mathematical model approach.
收益率边缘分布模型的构建可以采用更加精确的数理模型方法。 - The perfect combination between the good nature of the production function of constant returns to scale and perfect competition is necessary to prove the legitimacy of the marginal distribution theory, which was widely seen as proof of the legality of the market economy.
而生产函数规模报酬不变的良好性质与完全竞争的完美结合，则为证明边际分配理论的合法性起了重要的作用，这也被广泛地认为是市场经济合法性的证明。 - Copula function can link random variables with the joint distribution of their respective marginal distribution.
Copula函数能够将随机变量的联合分布与它们各自的边缘分布连接在一起。 - The confliction between increasing returns and competition, and the necessity that perfect competition provide for the marginal distribution theory, made the idea of increasing returns abandon by the mainstream economics.
报酬递增与完全竞争的冲突，以及完全竞争对于证明边际分配理论的不可或缺性，使得报酬递增思想被排除在了主流经济学之外。 - This method can be divided into two steps, that is, construction of the marginal distribution and selection of copula function.
这种方法可分为两步进行，即确定边际分布和确定copula函数。 - One is the pricing of insurance contracts, and the result shows when pricing contracts which depend on simultaneous exceedances over high thresholds, knowledge of pairwise correlations and marginal distribution is not sufficient.
结果表明：对保险合同进行定价时，仅仅知道每对相关系数和边际分布是不足以对保险合同定价的，其价格依赖于同时超过最大阈值时的情形。