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 ...

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 ...

This repository provides a reproducible analytical pipeline (RAP) for a simple M/M/s queuing model implemented in R using simmer. The model simulates patients arriving, waiting to see a nurse, being ...

Abstract: Assumptions play a pivotal role in the selection and efficacy of statistical models, as unmet assumptions can lead to flawed conclusions and impact decision ...

This repository is an example accompanying the DES RAP Book — an open educational resource on reproducible discrete-event simulation (DES) in Python and R. The book demonstrates best practices for ...

Abstract: This paper proposes a novel analytical model to analyze the statistical characteristics of the mobile devices using the 5G technology to form Internet of Things network. The importance of ...

The Tesla Model Y has been the most popular electric car for a few years now, and it makes sense. The Model Y is reasonably priced for an EV while offering a good range and an excellent software ...

Department of Biostatistics, SPHHP, University at Buffalo, Buffalo, NY, United States Over the past years, distances and divergences have been extensively used not only in the statistical literature ...