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Monte Carlo techniques have many applications, but a primary application is to approximate the probability that some event occurs. The idea is to simulate data from the population and count the proportion of times that the event occurs in the simulated data. For continuous univariate distributions, the probability of an
DevOps is enjoying a lot of attention at the moment, mostly because of its promise to increase software quality at lower cost. DevOps is a hybrid term linking development and operations. It's a philosophy that focuses on improving efficiencies in how we build and deliver software, solutions and the supporting environments.
As a single mom of 10 years, I have vacillated back and forth from “There is no evening that I wouldn’t rather take a bath than go on a date” to “ok, this might be fun.” Mostly, thinking about dating as a single parent just makes me tired. Whether you
Los episodios económicos y financieros del presente siglo han apremiado al sistema financiero a generar bases exhaustivas, perdurables y también adaptables tanto en el ámbito local como el internacional; sin embargo, aún se siguen analizando, probando, modificando e implementando planes, estrategias e ideas sobre el camino, lo cual no es
At its core, data compliance is built on simple foundations. Dylan Jones closes this series by explaining the remaining components of the "4F framework."
Does your data just look like a bunch of dots? Would you like to bring those dots to life so they can tell their story? This example shows how to make some voter-registration dots a bit more lifelike, so you can see what they're saying. You can apply the same
Do you remember the 90s? It seemed like every company and organization had some sort of strategic plan that had “2000” in its title. And they were all going to achieve and exceed these Year 2000 goals … if their systems didn’t crash at 12:00:01 on January 1, 2000! So
To show how they're compliant with regulatory mandates, organizations first need an enterprise data strategy. Joyce Norris-Montanari discusses the issues.
Longtime SAS programmers know that the SAS DATA step and SAS procedures are very tolerant of typographical errors. You can misspell most keywords and SAS will "guess" what you mean. For example, if you mistype "PROC" as "PRC," SAS will run the program but write a warning to the log:
Manufacturers are used to operating in challenging circumstances – whether financial, economic, political or competitive. And it's a good thing since the coming years seem likely to be as uncertain as those following the global economic crash. But manufacturing will have an excellent opportunity to thrive because, like many sectors,
Let’s have some fun, shall we? Share your video or photo! The SAS User Community, albeit spread around the world, is a tight-knit group. We may sit alone in our offices pounding out code, developing applications, tweaking system performance or creating reports, but the truth is other SAS users (our
Erwin Kalvelagen recently posted about a logic puzzle called Kakuro, also known as Cross Sums. As in traditional crossword puzzles, there are horizontal and vertical clues. As in Sudoku, each white cell is to be filled in with a digit from 1 to 9, with no digit repeated within the
Editor's note: This series of blogs addresses the questions we are most frequently asked at SAS Press! It worth spending some time on this. Arguably, this is one of the most important parts of the book. The table of contents and outline provide the blue print of your book –
Machine learning is a type of artificial intelligence that uses algorithms to iteratively learn from data and finds hidden insights in data without being explicitly programmed where to look or how to find the answer. Here at SAS, we hear questions every day about machine learning: what it is, how it compares to