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Shelly Goodin 0
SAS author's tip: The concept of a sampling distribution

This week's tip is from Professor Willbann D. Terpening and his book Statistical Analysis for Business Using JMP. If you're intrigued by the following excerpt, visit Terpening's author page for additional bonus book content. And take a look at his previously featured tip The Student t-distribution, on this blog: The following excerpt is from

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What you need to know about predictive analytics

Jean Paul Isson (Global Vice President of Business Intelligence and Predictive Analytics, Monster Worldwide, Inc.) and Jesse Harriott (Chief Analytics Officer, Constant Contact) know a thing or two about business analytics. With almost 40 years of experience between them, they've handled it all—from web mining solutions to business intelligence, predictive

Rick Wicklin 0
That distribution is quite PERT!

There are a lot of useful probability distributions that are not featured in standard statistical textbooks. Some of them have distinctive names. In the past year I have had contact with SAS customers who use the Tweedie distribution, the slash distribution, and the PERT distribution. Often these distributions are used

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Top 3 updates to Categorical Data Analysis Using SAS

Categorical Data Analysis Using SAS has been a favorite among SAS Books readers for quite some time, both as a useful discussion of categorical data analysis techniques as well as an invaluable aid in applying these methods with SAS. Maura Stokes is lead author of the recently published third edition. I

Mike Gilliland 0
New book: Supply Chain Forecasting Software

In 2011 I came across Shaun Snapp’s blog (scmfocus.com), and immediately took a liking. In particular, I was drawn to his independent and critical tone, and a willingness to challenge the “objectivity” of many commentators and advisors in the forecasting industry. He also takes a reasoned look at the common

Rick Wicklin 0
Generate uniform data in a simplex

It is easy to simulate data that is uniformly distributed in the unit cube for any dimension. However, it is less obvious how to generate data in the unit simplex. The simplex is the set of points (x1,x2,...,xd) such that Σi xi = 1 and 0 ≤ xi ≤ 1

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