The greatest variability in both shear strength and roughness exists for joint samples with smaller size, which underscores the necessity of performing representative sampling. This study aims to ...

In reliability analysis and lifetime testing, the high costs and extensive time required to measure key characteristics demand efficient sampling methods. This challenge is particularly pronounced in ...

With statistical sampling, counsel can simplify damage analyses, avoid potential issues with incomplete or missing data, and minimize the risk of error. In our prior ...

A research team has developed a novel direct sampling method based on deep generative models. Their method enables efficient sampling of the Boltzmann distribution across a continuous temperature ...

Across modern data-intensive disciplines, the union of numerical computation, statistics, and machine learning has become ...

A quantitative approach for linking baseline sample size to statistics provides a statistically justified basis for ...

If a taxpayer calculates research tax credits using an appropriate statistical sampling method on its tax return, does the taxpayer then make a prima facie case in the Tax Court by introducing ...

A new publication by two University of Cincinnati researchers contends that adjusting how researchers approach their statistical analysis has the potential to change the lives of children and ...

Researchers led by Yasunori Ichihashi at the RIKEN Center for Sustainable Resource Science (CSRS) in Japan recently examined how different kinds of pesticides and fertilizers affect mandarin oranges ...