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 ...

Nonparametric methods form an important core of statistical techniques and are typically used when data do not meet parametric assumptions. Understanding the foundation of these methods, as well as ...

To monitor the quality of a process in statistical process control (SPC), considering a functional relationship between a dependent variable and one or more independent variables (which is denoted as ...

Functional data comprise observations in the form of curves, surfaces or other infinite-dimensional objects recorded over a continuum. Nonparametric statistical inference for such data seeks to ...

Quantiles underpin widely used tools in finance, insurance, and economic inequality—yet building statistical inference for quantiles can be challenging because empirical quantiles are order statistics ...