We provide novel, high-order accurate methods for non-parametric inference on quantile differences between two populations in both unconditional and conditional settings. These quantile differences ...

Multiple event data are frequently encountered in medical follow-up, engineering and other applications when the multiple events are considered as the major outcomes. They may be repetitions of the ...

Nonparametric estimation and U-statistics have emerged as vital tools in modern statistical analysis, offering robust alternatives to traditional parametric methods. Nonparametric techniques bypass ...

Understanding how and when drivers change lanes is key to improving highway traffic flow, safety and autonomous vehicle performance, and a new approach developed at the University of Michigan ...

Floodbase will integrate 24/7, all-weather synthetic aperture radar (SAR) data into its advanced parametric flood solution through the Capella Space Analytics Partner Program Flood risk is growing due ...

Statistical testing in Python offers a way to make sure your data is meaningful. It only takes a second to validate your data ...