A relatively simple statistical analysis method can more accurately predict the risk of landslides caused by heavy rain, ...

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 ...

A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...

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 ...

The Center for Statistics and Advanced Analytics provides support to Boston College researchers related to the collection and the analysis of data. Our team includes statisticians and other data ...

Assumptions are like rules that must be followed to ensure results of a statistical analysis are valid. Common methods for generating confidence intervals operate under various assumptions. First, ...

Misuse of statistics in medical and sports science research is common and may lead to detrimental consequences to healthcare. Many authors, editors and peer reviewers of medical papers will not have ...

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 ...