This short course will provide an overview of non-parametric statistical techniques. The course will first describe what non-parametric statistics are, when they should be used, and their advantages ...

In this paper, parametric and empirical likelihood functions or surfaces are compared. In particular, first- and second-order expansions for log likelihood functions are developed in nonparametric and ...

Insurance is one of the few industries that have remained largely unchanged over the past few decades at a low level: You suffer losses as a direct result of something going south, and you get paid by ...

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 ...

We all know and love OpenSCAD for its sweet sweet parametrical goodness. However, it’s possible to get some of that same goodness out of Fusion 360. To do this we will be making a mathematical model ...

Parametric release and real-time testing use manufacturing data to ensure that products are made according to defined standards. PharmTech talks to Boehringer Ingelheim's Heribert Hausler about these ...