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-making. In both traditional ...

Over the past four years, the Biden Administration relied extensively on integrated assessment models (IAMs) to quantify the economic effects of carbon-dioxide emissions via a construct known as the ...

Kevin Dayaratna, PhD., is a chief statistician, data scientist, and senior research fellow in The Heritage Foundation's Center for Data Analysis. As delegates at the 2025 United Nations Climate ...

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 ...

What construction manager, property owner, or facilities executive wouldn’t welcome the benefits of a dynamic multifaceted financial model to inform decision making? Are you feeling overwhelmed by the ...