The analysis of the empirical distribution of univariate data often includes the computation of location, scale, skewness, and tail-heaviness measures, which are estimates of specific parameters of the underlying population distribution. Several measures are available, but they differ by...

We define a new boxplot that can deal with skewed and/or heavy-tailed distributions and possible outliers. The methodology relies on a rank-preserving transformation that allows to fit a so-called Tukey   g   -and-h   distribution.