Git isn't hard to learn, and when you combine Git with GitLab, you've made it a whole lot easier to share code and manage a common Git commit history with the rest of your team. This tutorial shows ...

The controller handles incoming requests and puts any data the client needs into a component called a model. When the controller's work is done, the model is passed to a view component for rendering.

Abstract: The purpose of this methods and concepts tutorial is to present the homodyned K-distribution (HKD) statistical modeling of the echo envelope of received radio frequency (RF) signals in the ...

The following is a summary of a story that originally appears on the Trinity College of Arts & Sciences website. As a new assistant professor in Duke’s Department of Statistical Science, Lasse ...

Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...

The Labor Department’s internal watchdog is investigating how the Bureau of Labor Statistics collects and reports economic data as a part of an effort to better understand how the U.S. economy is ...

City Science, a rapidly expanding profession, is the scientific study and engineering of urban systems. It uses advanced technologies, big data, and complex systems physics to tackle challenges such ...

A new ranking methodology places Barry Bonds over Babe Ruth as the game’s best player ever. Statisticians, at least, are cheering. By Alexander Nazaryan Every sport has its arguments over which player ...

The analysis of covariance (Ancova) is a widely used statistical technique for the comparison of groups with respect to a quantitative dependent variable in such a way that the comparison takes into ...

Looking to get into statistical programming but lack industry experience? We spoke with several statistical programmers from diverse backgrounds, and one thing became clear—there’s no single path to ...