Objectives This study assessed whether a previously developed Monte Carlo simulation model can be reused for evaluating various strategies to minimise time-to-treatment in southwest Netherlands for ...

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 ...

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 ...

Molecular modeling soon attracted the attention of Medicinal Chemistry researchers, given the importance of molecular structure for understanding the mode of action and for designing bioactive ...

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 ...

What if the future of artificial intelligence didn’t hinge on size but on ingenuity? In a world dominated by massive transformer models boasting hundreds of billions of parameters, the HRM 27M AI ...

What if the future of artificial intelligence wasn’t locked behind paywalls or restricted to tech giants? OpenAI’s latest release—GPT-OSS 120B and 20B—is a bold step toward making innovative AI ...

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 ...

Figure A shows the age-standardized incidence and mortality of cervical cancer worldwide in 2022. The blue diamond represents the regional rate, the black vertical line represents the country rate, ...

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 ...

Financial modeling predicts a company’s financial performance using historical data. Financial modeling aids in decision-making for budgeting, investing, and valuation. Models can apply to diverse ...