给定一个随机向量, 将其所有成分的概率分布放在一起考虑, 称为联合分布(joint distribution), 而将其中一个成分的概率分布单独考虑,称为边缘分布(marginal distribution). Definition 令Xi为 有着联合分布函数FX(x)的K×1随机向量X的 第i个分量.Xi的分布函数被称为Xi的边缘分布函数, 表示为FXi(x). ...
This method compares two estimators of the marginal distribution of Y (or the joint distribution of (Y, Z)): one is the non-parametric maximum likelihood estimator and the other is an estimator based on the null hypothesis. This method is called the marginal distribution (MD) method or the...
joint distribution function 联合分布函数 joint will 【法】 共同遗嘱 marginal amplifier 边频放大器 marginal area 边缘地区 marginal credit 边际信贷,限界信贷 相似单词 marginal a. 边缘的,末端的,有旁注的 distribution n. 1.分发,分配 2.散布,分布 3.分配;分布 4.(商品)运销,经销,分销 5.按比...
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marginal distribution 边际分配,边缘分布 marginal continuous distribution 边缘连续分布 joint marginal distribution 联合边缘分布 marginal amplifier 边频放大器 marginal area 边缘地区 marginal credit 边际信贷,限界信贷 marginal definition 边缘清晰度 marginal demand 边际需求 marginal discharge 边缘放电,尖...
必应词典为您提供marginal-distribution的释义,un. 边缘分布;边际分配; 网络释义: 边际分布;边缘分配;边际概率分布;
Here, P(X,Y) is the joint distribution of X and Y, and dY denotes the integration over Y. The resulting distribution P(X) gives the probabilities of all possible values of X, irrespective of the values of Y. Similarly, the marginal likelihood integrates over all possible values of the ...
1) marginal distribution 边际分布1. This paper explores Sklar s theorem based on the bivariate distribution,Introduces the method of generation Copula function and joint distribution functions with a given marginal distribution based on Sklar s theorem. 基于二维分布讨论了Sklar定理,介绍了由Sklar定理...
and joint distribution function It is easy to check that for any and , which implies that and are independent. More details A more detailed discussion of the marginal distribution function can be found in the lecture entitledRandom vectors. ...
We obtain such-estimates by using generalized log-linear models in a new way: we smooth both the interior and the margins of the two-way table, yielding the smoothest joint distribution on the table having the same low-order moments as the observed sample. 展开 ...