Move beyond spreadsheets to data mining, forecasting, optimization – and more

## Simulate multivariate clusters in SAS

This article shows how to simulate data from a mixture of multivariate normal distributions, which…

Move beyond spreadsheets to data mining, forecasting, optimization – and more

By Rick Wicklin 3

This article shows how to simulate data from a mixture of multivariate normal distributions, which…

By Rick Wicklin 1

A previous article discussed the mathematical properties of the singular value decomposition (SVD) and showed…

By Rick Wicklin 6

The singular value decomposition (SVD) could be called the "billion-dollar algorithm" since it provides the…

By Rick Wicklin 5

Recently, I was asked whether SAS can perform a principal component analysis (PCA) that is…

By Rick Wicklin 0

An important problem in machine learning is the "classification problem." In this supervised learning problem,…

By Rick Wicklin 0

I recently showed how to compute a bootstrap percentile confidence interval in SAS. The percentile…

By Rick Wicklin 0

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

By Rick Wicklin 20

Restricted cubic splines are a powerful technique for modeling nonlinear relationships by using linear regression…

By Rick Wicklin 0

Monte Carlo techniques have many applications, but a primary application is to approximate the probability…

By Rick Wicklin 4

Sometimes SAS programmers ask about how to analyze quantiles with SAS. Common questions include: How…