How a rejected paper by Kolkata physicist Satyendra Nath Bose, backed by Albert Einstein, laid the scientific foundation for ...

The GC–MS dataset was integrated with the sensory data using a series of exploratory and predictive multivariate statistical ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

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 ...

Modeling is a core disciplinary practice in chemistry, yet its complexity is often oversimplified and underdiscussed in educational contexts. This essay explores the plurality of chemical modeling by ...

ABSTRACT: This paper proposes a universal framework for constructing bivariate stochastic processes, going beyond the limitations of copulas and offering a potentially simpler alternative. The ...

The analysis of multi-environment trials (MET) data in plant breeding and agricultural research is inherently challenging, with conventional ANOVA-based methods exhibiting limitations as the ...