The DO Loop
Statistical programming in SAS with an emphasis on SAS/IML programs
Monte Carlo techniques have many applications, but a primary application is to approximate the probability that some event occurs. The idea is to simulate data from the population and count the proportion of times that the event occurs in the simulated data. For continuous univariate distributions, the probability of an
Longtime SAS programmers know that the SAS DATA step and SAS procedures are very tolerant of typographical errors. You can misspell most keywords and SAS will "guess" what you mean. For example, if you mistype "PROC" as "PRC," SAS will run the program but write a warning to the log:
Sometimes SAS programmers ask about how to analyze quantiles with SAS. Common questions include: How can I compute 95% confidence intervals for a median in SAS? How can I test whether the medians of two independent samples are significantly different? How can I repeat the previous analyses with other percentiles,