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Advanced Analytics | Analytics | Data Management | Data Visualization | Learn SAS | Machine Learning | Students & Educators
Gonzalo Quintana 0
Formando a la Próxima Generación de Analistas: mentoring de SAS en la UC3M

En el vertiginoso mundo de la analítica, la teoría es fundamental, pero la experiencia práctica es la que realmente marca la diferencia. En SAS, lo sabemos bien. Por eso, hemos forjado una alianza estratégica con la Universidad Carlos III de Madrid para impulsar el talento emergente, brindándoles la oportunidad de

Analytics | Learn SAS | Programming Tips
Rick Wicklin 0
An explicit formula for eigenvalues of an AR(1) correlation matrix

The first-order autoregressive (AR(1)) correlation structure is important for applications in time series modeling and for repeated measures analysis. The AR(1) model provides a simple situations where measurements (on the same subject) that are closer in time are correlated more strongly than measurements recorded far apart. The AR(1) model uses

Learn SAS | Students & Educators
Matt Scicchitano 0
Achieving Perfection: Jayeshkumar's Journey to a Perfect SAS Certification Score

This article was written based off an interview. In the competitive world of data analytics, achieving a perfect score on the SAS certification exam is a remarkable feat. Dr. Jayeshkumar Kanani, a resolute data enthusiast from the Surat Municipal Institute of Medical Education and Research (SMIMER), recently accomplished this milestone.

Learn SAS
Rick Wicklin 0
Interactive procedures in SAS

SAS software supports two kinds of procedures: interactive and non-interactive. Most SAS procedures are non-interactive. They begin with a PROC statement, include one or more additional statements, and end with a RUN statement. When SAS encounters the RUN statement, the procedure executes all statements, then exits. On the other hand,

Analytics | Learn SAS | Programming Tips
Rick Wicklin 0
The three-sigma rule

A remarkable result in probability theory is the "three-sigma rule," which is a generic name for theorems that bound the probability that a univariate random variable will appear near the center of its distribution. This article discusses the familiar three-sigma rule for the normal distribution, a less-familiar rule for unimodal

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