执行曲线拟合和分布拟合，并了解每种方法适用的情况。

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。

Fit univariate distributions using least squares estimates of the cumulative distribution functions. This is a generally-applicable method that can be useful in cases when maximum likelihood fails, for instance some models that include a threshold parameter.

Fit a custom distribution to univariate data by using the mle function.

Use advanced techniques with the mle function to avoid numerical issues when fitting a custom distribution. Specifically, you learn how to: