copulas
- copulas的基本解释
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n.
系动词(如be,seem,appear等), (命题主词与谓词间的)连系( copula的名词复数 )
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Definition,properties of copula and several special copulas are introduced.
本文介绍了Copula函数的定义、属性和几种特殊的Copula函数。
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Copulas are functions that join multivariate distribution functions to their one-dimensional marginal distribution functions.
Copula函数是将多维随机变量的联合分布和其边缘分布连接起来的一种函数。
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Copulas are functions that joint multivariate distribution functions to their one–dimensional marginal distribution functions.
Copula用来描述多元随机变量的一维边缘分布与其联合分布之间的函数关系。
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Although there exist many ways about constructing bivariate copulas, few of them can extend to multivariate.
尽管已有不少二元copula的构造方法,但是这些方法均难以扩展到多元的情形。
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In chapter one, we review recent developments on bivariate distributions and bivariate copulas.
中文摘要在第一章,先回顾目前一些二元分布和二元机率结合函数相关的定义、主要定理,及目前的发展概况。
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