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Rick Wicklin 0
Alternative ways to simulate multinomial data

My previous post described the multinomial distribution and showed how to generate random data from the multinomial distribution in SAS by using the RANDMULTINOMIAL function in SAS/IML software. The RANDMULTINOMIAL function is simple to use and implements an efficient algorithm called the sequential conditional marginal method (see Gentle (2003), p.

Learn SAS
Michelle Homes 0
Read what you need

With the pervasiveness of mobile devices, being able to read while “on the go” has been easier than ever. How many times have you found yourself in a situation where you pass the time waiting by reading something on your phone/iPad/tablet etc? With eBooks on my iPad, I find that

Buffie Silva 0
Celebrating Circle of Excellence members

Celebrations happen throughout the year. Here at SAS, we like to celebrate our users. The global Circle of Excellence program was started a little over a year ago to achieve this goal. We have been getting stories from you guys and posting them. Well, a new group for 2013 has

Rick Wicklin 0
Implement the truncated normal distribution in SAS

This article describes how to implement the truncated normal distribution in SAS. Although the implementation in this article uses the SAS/IML language, you can also implement the ideas and formulas by using the DATA step and PROC FCMP. For reference, I recommend the Wikipedia article on the truncated normal distribution.

SAS Events
Natalie Meyer 0
Top 10 reasons for presenting a conference paper

Professional development, popularity, untold fame: the benefits of submitting a paper to a SAS conference are certainly varied and widespread! In a recent SAS Users LinkedIn discussion started by David Corliss, avid SAS users and former presenters discussed their motivations for writing, researching and presenting papers. From the many wonderful

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