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10 ways statistical thinking improves business processes

Our newest book in the Wiley and SAS Business Series, Statistical Thinking: Improving Business Performance, Second Edition, has been called “probably the most practical basic statistics textbook that has ever been written within a business context.”* It prepares readers for business leadership by developing their capacity to apply statistical thinking to

Rick Wicklin 0
BY-group processing in SAS/IML

Because the SAS/IML language is a general purpose programming language, it doesn't have a BY statement like most other SAS procedures (such as PROC REG). However, there are several ways to loop over categorical variables and perform an analysis on the observations in each category. One way is to use

SAS Events
Sanjay Matange 0
Graphs are easy with SAS 9.3

ODS Graphics have matured.  With SAS 9.2, GTL and SG procedures were a new direction for creating analytical graphs in SAS. The motivation and design of the GTL framework and the SG procedures was driven primarily by the needs of the procedure writers within SAS to enable the automatic creation

Learn SAS
Lisa Fine 0
PROC REPORT formatting tips

I’m a SAS user in the Pharmaceutical industry. I switched to the Pharmaceutical industry (from Marketing Research) four years ago and had a lot to learn! I started my new endeavor by purchasing some excellent SAS books, joining my local SAS user group, attending conferences (Michigan SAS User Group, PharmaSUG,

Mike Gilliland 0
Ready - fire - aim

Are you a prefectionist when it comes to forecasting, or any kind of data analysis? If so, perhaps my SAS colleague Gary Cokins can cure you. Gary is a prolific writer and contributor in the performance management field, and describes himself as a "ready-fire-aim" kind of guy. By this he means

Rick Wicklin 0
The Poissonness plot: A goodness-of-fit diagnostic

Last week I discussed how to fit a Poisson distribution to data. The technique, which involves using the GENMOD procedure, produces a table of some goodness-of-fit statistics, but I find it useful to also produce a graph that indicates the goodness of fit. For continuous distributions, the quantile-quantile (Q-Q) plot

Mike Gilliland 0
New forecasting book by Jain & Malehorn

Being a Hollywood celebrity means plenty of perks in addition to willing groupies. For example, the 2012 Oscars Nominee Gift Bag (valued at over $62,000) included a 5-day elephant safari in Botswana ($15,580), Eminence organic body scrub (with virgin coconut oil and raw sugar cane, $48), Naughty Bits Brownies ($50), and a

Shelly Goodin 0
SAS author's tip: Help from the DESCRIBE TABLE statement

The first line of this week's SAS tip grabs your attention, "PROC SQL provides a helpful (though potentially dangerous) tool in the form of the DESCRIBE TABLE statement." SAS author, consultant, and member of the SAS-L Hall of Fame Howard Schreier included this intriguing statement in his book PROC SQL by Example: Using

Mike Gilliland 0
Preview of INFORMS Conference

The INFORMS Conference on Business Analytics and Operations Research kicks off April 15 in Huntington Beach, CA. I had a chance to preview a presentation by Glenn Bailey, Sr. Director of Operations Research at Manheim (the $3B wholesaler auto auctioneer). Glenn's talk is on "The Need for Speed: Responsive Predictive Analytics,"

Rick Wicklin 0
Creating a periodic smoother

In yesterday's post, I discussed a "quick and dirty" method to smooth periodic data. However, after I smoothed the data I remarked that the smoother itself was not exactly periodic. At the end points of the periodic interval, the smoother did not have equal slopes and the method does not

Rick Wicklin 0
Smoothers for periodic data

Over at the SAS and R blog, Ken Kleinman discussed using polar coordinates to plot time series data for multiple years. The time series plot was reproduced in SAS by my colleague Robert Allison. The idea of plotting periodic data on a circle is not new. In fact it goes

Rick Wicklin 0
Count missing values in observations

Locating missing values is important in statistical data analysis. I've previously written about how to count the number of missing values for each variable in a data set. In Base SAS, I showed how to use the MEANS or FREQ procedures to count missing values. In the SAS/IML language, I

Students & Educators
Nadja Young 0
More than “teaching to the test”: Value-added ROI persists throughout a student’s life

A 23-year Harvard and Columbia University study was recently published shedding new light on the long-term impacts of teachers with both high and low value-added estimates. Researchers Chetty, Friedman, and Rockoff tracked math and reading assessment data on over 2.5 million students from 1989-2009. They then incorporated 90% of these

Mike Gilliland 0
Editorial comment: Forecast accuracy vs. effort

Let's end 2012-Q1 with a graphic editorial comment: Forecast Accuracy vs. Effort Using a naïve model will achieve a certain level of forecast accuracy. That accuracy may be high if the demand is smooth and stable, or low if the demand is erratic. But you achieve this level of accuracy with virtually no

Mike Gilliland 0
Deadly sin #5: Senior management meddling

The March 28 edition of APICS extra features an article by Fred Tolbert on "The Seven Deadly Sins of Sales Forecasting." Although I have some objection to his Deadly Sin #1: Using Shipment History (and will discuss the objection in a forthcoming guest-post on the Institute of Business Forecasting blog),

Mike Gilliland 0
Forecasting lessons from The Twilight Zone

Even Rod Serling recognized that sometimes we can't forecast worth a darn. "The Rip Van Winkle Caper" is an episode from Season 2 of the television series, The Twilight Zone, and first aired in 1961. It involves four train robbers who steal a million dollars worth of gold bars, hide

Rick Wicklin 0
Generating a random orthogonal matrix

Because I am writing a new book about simulating data in SAS, I have been doing a lot of reading and research about how to simulate various quantities. Random integers? Check! Random univariate samples? Check! Random multivariate samples? Check! Recently I've been researching how to generate random matrices. I've blogged

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