Milestone articles have highlighted the frequency and types of statistical errors in research,1–5 yet fundamental errors ...

Downloads TSD 20: Multivariate meta-analysis of summary data for combining treatment effects on correlated outcomes and evaluating surrogate endpoints (PDF, 1.2MB) – October 2019 – Updated December ...

Explore Karachi 100 historical data, featuring daily prices, open, high, low, volume, and changes. Analyze trends, all-time highs, historical returns, and more.

Identifying and acting on ESG opportunities requires high-quality, complete and reliable data. Our suite of comprehensive sustainability datasets is available for scalable enterprise-wide use via ...

Our in-depth analysis of validated voters – those confirmed to have voted in the 2024 election – explores turnout, demographics and how people’s voting patterns changed over time. Our latest politics ...

Visualization and visual analysis play important roles in exploring, analyzing, and presenting scientific data. In many disciplines, data and model scenarios are becoming multifaceted: data are often ...

This brief discusses a novel quality-driven principal component analysis method for statistical process monitoring. Through a nonlinear mapping, the original measurement space is mapped to another ...

Star 0 Code Issues Pull requests multivariate-distributions multivariate-data multivariate-testing multivariate-regression multivariate-polynomials multivariate-analysis multivariate-statistics ...

When AI and data are combined for Predictive AI, users can develop forecasts and analyze certain scenarios to determine chances of success. AI-powered data analysis tools are key for any organization ...

exploratory-data-analysis data-visualization bokeh principal-component-analysis dashboard-application interactive-data-exploration feature-correlation-and-comparison multivariate-data-visualization ...