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Learn SAS
Shelly Goodin 0
What’s behind our orange covers

It’s bold, autumnal, and adorns team uniforms, frozen desserts, and hair. Wherever orange is used, it makes a statement.  With changing leaves and Halloween approaching, it’s appropriate to call attention to fall colors and covers. For this post, I rounded up all of the orange SAS book titles that I

Learn SAS
Shelly Goodin 0
SAS author’s tip: using the Options window in SAS Enterprise Guide

Super authors Susan Slaughter and Lora Delwiche and their bestselling Little SAS Book series have empowered the user community for years. This dynamic duo has uncannily anticipated what SAS users need to know. And they've produced thoughtful and accessible books with remarkable speed. One of their most recent books The Little SAS Book for Enterprise Guide 4.2 provides

Chris Hemedinger 0
Poetry on our own terms

Within the SAS documentation there must be thousands of unique words.  But ten words occur more than any others within the SAS documentation corpus: SAS, data, statement, option, set, value, variable,  PROC, model, table. This is according to one of our staff terminologists, Vicki Leary, who helps to keep our use of these words consistent and

Advanced Analytics
Mike Gilliland 0
Why forecasts are wrong

This week brought big news of one of the most cruel and heartless tyrants of the 21st century.  This man is known for narcissistic behavior, surrounding himself with a cadre of beautiful women, sleeping in a different place every night, picking new favorites each week, and bringing tears and untold suffering

Rick Wicklin 0
The "power" of finite mixture models

When I learn a new statistical technique, one of first things I do is to understand the limitations of the technique. This blog post shares some thoughts on modeling finite mixture models with the FMM procedure. What is a reasonable task for FMM? When are you asking too much? I

Learn SAS
John West 0
An editor's experience at WUSS

I had the pleasure of attending the Western Users of SAS Software (WUSS) conference last week in San Francisco, and I am amazed at the energy and enthusiasm for all things SAS at the regional user group conferences. It’s truly an exciting and energizing three days where you can learn

Rick Wicklin 0
Four essential functions for statistical programmers

Normal, Poisson, exponential—these and other "named" distributions are used daily by statisticians for modeling and analysis. There are four operations that are used often when you work with statistical distributions. In SAS software, the operations are available by using the following four functions, which are essential for every statistical programmer

Julie Platt 0
You CAN judge Aster’s Pocket Reference by its cover

Have you heard? Rick Aster has just released the Sixth Edition of his ever-popular Professional SAS Programmer’s Pocket Reference, freshly updated to include SAS 9.3. You might also notice that it has a fresh look—a smaller, more compact trim size. Rick has always wanted this book to be an easy

Shelley Sessoms 0
Recruiting authors at Analytics 2011

Where will you be Oct. 24 and 25? I will be in sunny, warm Orlando, with hundreds of like-minded folks, at the Analytics 2011 conference. It’s certainly not the first time I’ve talked with SAS customers about analytic topics. In fact, we have a number of analytics books in the

Rick Wicklin 0
Does SYMPUT work in IML?

I received the following email: Dear Dr. Wicklin, Why doesn't SYMPUT work in IML? In the DATA step, I can say CALL SYMPUT("MyMacro", 5) but this doesn't work in IML! Frustrated Dear Frustrated, The SYMPUT subroutine does work in SAS/IML software! However, the second argument to SYMPUT must be a

Rick Wicklin 0
Optimizing? Two hints for specifying derivatives

I previously wrote about using SAS/IML for nonlinear optimization, and demonstrated optimization by maximizing a likelihood function. Many well-known optimization algorithms require derivative information during the optimization, including the conjugate gradient method (implemented in the NLPCG subroutine) and the Newton-Raphson method (implemented in the NLPNRA method). You should specify analytic

Shelly Goodin 0
A career in 30 seconds or less

Tonight I get to temporarily return to (sort of) being in my 20s. I’ve been invited to attend my alma mater the University of North Carolina at Chapel Hill’s Ad/PR Networking Night, along with several other professionals in the area. We’ll each have 30 seconds to share a little about our

Rick Wicklin 0
Maximum likelihood estimation in SAS/IML

A popular use of SAS/IML software is to optimize functions of several variables. One statistical application of optimization is estimating parameters that optimize the maximum likelihood function. This post gives a simple example for maximum likelihood estimation (MLE): fitting a parametric density estimate to data. Which density curve fits the

Rick Wicklin 0
SAS/IML tip sheets

To celebrate the first anniversary of Statistical Programming with SAS/IML Software, you can now download the SAS/IML tip sheets (also called "cheat sheets") that I created for the book. At conferences, SAS Press displays these tip sheets next to my book. They have been very popular. Download these SAS/IML cheat

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