This paper presents a methodology for workload characterization and root cause analysis using the Arm Statistical Profiling Extension (SPE) demonstrated on a Neoverse N1 core. The target audience are ...

The efficiency of Monte Carlo simulations is significantly improved when implemented with variance reduction methods. Among these methods, we focus on the popular importance sampling technique based ...

Keywords: Fragility curves. Bridges. Seismic performance. Nonlinear dynamic analysis. Parameter estimation. Highways. Expressways. Abstract: This report applies both empirical and analytical fragility ...

In today's data-driven world, statistical analysis plays a critical role in uncovering insights, validating hypotheses, and driving decision-making across industries. R, a powerful programming ...

This certificate recognizes the importance of quantitative methodology for conducting scientific research and for guiding evidence-based practice in any field, but in particular the field of education ...

I 'm a big fan of Python for data analysis, but even I get curious about what else is available. R has long been the go-to ...

"We are excited to release this new version of our software. Stata 19 will empower researchers to effectively use their data and make impactful contributions with their work,” said Alan Riley, ...

How to use statistical tools for component tolerance analysis. A look at methods such as Monte Carlo and Gaussian distribution. Simulating a dc-dc converter in LTspice to model closed-loop voltage ...

When you use the statistical analysis features in Excel, you are leveraging one of the most powerful tools available for data manipulation and interpretation. Excel is not just a spreadsheet ...