Data simulation is a fundamental tool for statistical programmers. SAS® software provides many techniques for
simulating data from a variety of statistical models.
However, not all techniques are equally efficient. An efficient simulation can run in seconds, whereas an inefficient
simulation might require days to run. This paper presents 10 techniques that enable you to write efficient simulations in
SAS. Examples include how to simulate data from a complex distribution and how to use simulated data to approximate
the sampling distribution of a statistic.