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Machine learning differs from classical statistics in the way it assesses and compares competing models. In classical statistics, you use all the data to fit each model. You choose between models by using a statistic (such as AIC, AICC, SBC, ...) that measures both the goodness of fit and the
Many areas of the US are experiencing record low unemployment. This is great at the national level, and also great at a personal level (for example, I now have fewer unemployed friends asking to borrow money!) But just how low is the US unemployment rate, and how does it compare
January serves as National Slavery and Human Trafficking Awareness Month, culminating in the annual observation of National Freedom Day on February 1. For many, this month presents an opportunity to refocus efforts to slow, and ultimately stop, human trafficking around the globe, but especially here in the United States. The
By almost any measure, Rick Wicklin is the most prolific and most popular blogger at SAS. Author of The Do Loop, Rick has been writing and publishing blogs at SAS since 2010, and today he publishes his 1,000th post on The Do Loop! To celebrate, I want to highlight some
This article shows how to use SAS to simulate data that fits a linear regression model that has categorical regressors (also called explanatory or CLASS variables). Simulating data is a useful skill for both researchers and statistical programmers. You can use simulation for answering research questions, but you can also
Brush up on the latest news around data privacy. Todd Wright shares his top 10 picks.
A nadie le gusta pagar impuestos. Y no son pocos los contribuyentes -personas físicas y morales- que buscan formas de declarar ingresos más bajos que los reales con tal de desembolsar lo menos a las autoridades fiscales (como el Sistema de Administración Tributaria de México). De hecho, estas organizaciones son
“Hoy fue revelado un prototipo de computadora que se espera, sea capaz de hablar, caminar, ver, escribir, reproducirse y ser consciente de su existencia”. Allá por 1958, cuando aun cuando no existía internet y una computadora era algo más pesada que un elefante, el New York Times publicaba un artículo
Michelle Homes explains how SAS Press books changed her life, and how she donates her books and time to the SAS community whenever she can.
Many of the buzzy applications of AI in healthcare we hear about involve medical IoT, computer vision for radiology or disease prediction. But the fact is, many health institutions that just aren’t there yet with adoption. With limited budgets and dated systems, can public health agencies tap into the power
As we're approaching the anniversary of Hans Rosling's passing, I fondly remember his spectacular graphical presentations comparing the wealth and health of nations around the world. He certainly raised the bar for data visualization, and his animated charts inspired me to work even harder to create similar visualizations! What better way
Jim Harris discusses a key role of the data engineer – protecting sensitive personal data.
I’m not usually an early adopter when it comes to electronics so I followed the same philosophy with the Instant Pot in its infancy. I feared that it would end up in the attic waiting for the next yard sale like so many other kitchen electronics in my lifetime. So,
Recently I was asked to explain the result of an ANOVA analysis that I posted to a statistical discussion forum. My program included some simulated data for an ANOVA model and a call to the GLM procedure to estimate the parameters. I was asked why the parameter estimates from PROC
Recently I was asked to explain the result of an ANOVA analysis that I posted to a statistical discussion forum. My program included some simulated data for an ANOVA model and a call to the GLM procedure to estimate the parameters. I was asked why the parameter estimates from PROC