The DO Loop
Statistical programming in SAS with an emphasis on SAS/IML programs
A previous article shows how to use PROC FCMP to define the PDF, CDF, and quantile functions for the three-parameter Burr XII distribution. I also defined the log-PDF function, which is used during maximum likelihood estimation (MLE) of parameters. This article shows how to fit the Burr distribution to data
SAS supports more than 25 common probability distributions for the PDF, CDF, QUANTILE, and RAND functions. If you need a less-common distribution, you can implement new distributions by using Base SAS (specifically, PROC FCMP) or the SAS/IML language. This article shows how to use call functions related to the three-parameter
There are many ways to visualize the distribution of univariate data. A previous article presents an overview and shows how to use SAS to create histograms, kernel density estimates, box plots, and cumulative distribution plots. This article continues the visualization journey, with an emphasis on dot plots and heat maps.