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copula 分布和相关样本

对数据进行相关随机样本模型参数拟合，计算分布，生成序列相关的伪随机样本

Statistics and Machine Learning Toolbox™ 提供了多个具有指定分布参数的函数，用于处理 copula 分布和相关样本。有关详细信息，请参阅Generate Correlated Samples Using Copulas。

函数

`copulacdf`	Copula cumulative distribution function
`copulapdf`	Copula probability density function
`copulaparam`	Copula parameters as function of rank correlation
`copulastat`	Copula rank correlation
`copulafit`	Fit copula to data
`copularnd`	Copula random numbers

Generate Correlated Samples Using Copulas
Copulas are functions that describe dependencies among variables, and provide a way to create distributions that model correlated multivariate data.
Generate Correlated Data Using Rank Correlation
Use a copula and rank correlation to generate correlated data from probability distributions that do not have an inverse cdf function available, such as the Pearson flexible distribution family.
使用 copula 仿真相关随机变量
此示例说明当变量之间存在复杂关系时，或者当各个变量来自不同分布时，如何使用 copula 从多元分布中生成数据。