此示例说明如何执行曲线拟合和分布拟合，并讨论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.

Use the Statistics and Machine Learning Toolbox™ function mle to fit custom distributions to univariate data.

Use some more advanced techniques with the Statistics and Machine Learning Toolbox™ function mle to fit custom distributions to univariate data. The techniques include fitting models to censored data, and illustration of some of the numerical details of fitting with custom distributions.