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Rick Wicklin 0
A statistically beautiful Father's Day

To celebrate special occasions like Father's Day, I like to relax with a cup of coffee and read the newspaper. When I looked at the weather page, I was astonished by the seeming uniformity of temperatures across the contiguous US. The weather map in my newspaper was almost entirely yellow

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Encodings decoded: what you need to know about SAS encoding

Have you ever seen question marks in ODS output, diamonds with question marks in them where a copyright symbol should be, or unexpected symbols in your Web browser? In other words, do you sometimes see garbage instead of text? Manfred Kiefer’s new book, SAS Encoding: Understanding the Details can help.

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Shelly Goodin 0
SAS author's tip: %NLINMIX macro tips

This week's %NLINMIX macro tips come from the esteemed authors of SAS for Mixed Models, Second Edition. Ramon C. Littell, George A. Milliken, Walter W. Stroup, Russell D. Wolfinger, and Oliver Schabenberger combined their expertise to write this indispensable guide. This 800 page book has made a big impact in the user community

Mike Gilliland 0
The perils of forecasting benchmarks

Benchmarks of forecasting performance are available from several sources, including professional organizations and journals, academic research, and private consulting/benchmarking organizations. But there are several reasons why industry forecasting benchmarks should not be used for setting your own forecasting performance objectives. 1) Can you trust the data? Are the numbers based

Rick Wicklin 0
The curious case of random eigenvalues

I've been a fan of statistical simulation and other kinds of computer experimentation for many years. For me, simulation is a good way to understand how the world of statistics works, and to formulate and test conjectures. Last week, while investigating the efficiency of the power method for finding dominant

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