Course TopicsThis 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 ...

An introduction to analysing quantitative data including topics such as, understanding the distribution of data variables, and parametric and non-parametric statistical tests.

Matt Goldman, David M. Kaplan, Non-parametric inference on (conditional) quantile differences and interquantile ranges, using L-statistics, The Econometrics Journal, Vol. 21, No. 2 (2018), pp. 136-169 ...

EstimateS offers statistical tools for analyzing and comparing the diversity and composition of species assemblages, based on sampling data. The latest version computes a wide range of biodiversity ...

What is the Kruskal–Wallis test? The Kruskal–Wallis test is a statistical test used to compare two or more groups for a continuous or discrete variable. It is a non-parametric test, meaning that it ...

A lot of statistic analysis is based on parametric statistics. One of the most crucial assumptions is the bell shape distribution or normal distribution of the sample or population under central ...