Perform curve fitting and distribution fitting, and learn when each method is appropriate.

Use copulas to generate data from multivariate distributions when there are complicated relationships among the variables, or when the individual variables are from different distributions.

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: