## Bootstrap estimates in SAS/IML

I previously wrote about how to compute a bootstrap confidence interval in Base SAS. As…

Rick WicklinRSS

Distinguished Researcher in Computational Statistics

Distinguished Researcher in Computational Statistics

Rick Wicklin, PhD, is a distinguished researcher in computational statistics at SAS and is a principal developer of PROC IML and SAS/IML Studio. His areas of expertise include computational statistics, simulation, statistical graphics, and modern methods in statistical data analysis. Rick is author of the books *Statistical Programming with SAS/IML Software* and *Simulating Data with SAS*.

By Rick Wicklin 3

I previously wrote about how to compute a bootstrap confidence interval in Base SAS. As…

By Rick Wicklin 1

A SAS customer asked how to use SAS to conduct a Z test for the…

By Rick Wicklin 4

Students in introductory statistics courses often use summary statistics (such as sample size, mean, and…

By Rick Wicklin 0

Suppose you roll six identical six-sided dice. Chance are that you will see at least…

By Rick Wicklin 0

My presentation at SAS Global Forum 2017 was "More Than Matrices: SAS/IML Software Supports New…

By Rick Wicklin 0

One way to assess the precision of a statistic (a point estimate) is to compute…

By Rick Wicklin 2

Most numerical optimization routines require that the user provides an initial guess for the solution.…

By Rick Wicklin 2

In a previous article, I showed two ways to define a log-likelihood function in SAS.…

By Rick Wicklin 1

Maximum likelihood estimation (MLE) is a powerful statistical technique that uses optimization techniques to fit…

By Rick Wicklin 9

I have previously discussed how to define functions that safely evaluate their arguments and return…