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copula相关的网络例句

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与 copula 相关的网络例句 [注:此内容来源于网络,仅供参考]

Risk of portfolio of Shanghai and Shenzhen stock market was analyzed by Archimedean Copula.1 639 groups of data of daily closing prices from 4 January 2000 to 8 November 2006 were chosed.

应用阿基米德Copula分析沪深股票市场投资组合风险,样本区间从2000年1月4日至2006年11月8日,共1 639组有效数据。

We also introduce and compare different methods of parameters estimates and the methods of choosing the best Copula function.

对Copula函数参数估计的不同方法和最优Copula函数的选择方法进行了介绍和比较。

In this paper we introduce Copula theory into the financial analysis and try to improve the traditional methods to solve new problems.

本文将连接函数Copula理论引入金融分析中来,试图通过Copula函数对原有的方法进行改进,更好地适应新的形势下遇到的新问题。

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。

Moreover, we introduce a transformation of copula and permit to fit the dependence coefficients in a better way.

在一个Copula族内进行适当变换,得到新的Copula,使得能更好地拟合样本的各个相关系数。

Under different market circumstance we can use the corresponding Copula because different Copula has different distribution character.

不同的Copula函数具有不同的分布特点,因此适合在不同的市场条件下使用。

When wepossess information about the values of a Copula at points in its domain of definition,the bounds can often be narrowed.

本文证明了由Copula及其生存、对偶和伴随Copula组成的集合在函数的复合运算下构成了Klein四元群,求解了群中元素的界以及它们在某个点处的函数值给定时的界。

By that, the dissymmetric of the skew t-Copula and the influence by the free degrees, correlate coefficients are saw.

通过模拟结果可以清楚看到非中心t-Copula的非对称性以及Copula函数的自由度,相关系数对所描述的相关程度的影响。

When we compared the results of different simulations which computed by Copulas and by Gaussian method, it turns out that Copula method is much better than the Gaussian one.

将Copula方法的计算结果与传统的正态假设模拟结果比较表明,Copula方法对金融风险的度量要明显优于正态方法。

For to analysis the change of variable relation change to arouse the change of investment portfolio weight,We analysis mixed Copula model in fitting relation change and reflecting the change of investment portfolio weight, conclude that mixed Copula has some extent exaction but this method has much risk .

针对变量相关性的变化引起投资组合权重的变化,分析了混合Copula模型在更好地拟合相关性变化以及反映权重变化中具有一定地准确性,但存在巨大地风险。

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