Robust Statistical Methods Applied in the Analysis of Geochemical Variables

A preliminary case study of the analysis of geochemical variables is reported. Some ideas of resistant analysis and robust statistics are incorporated in certain statistical methods employed in geoscience: Descriptive statistics, principal components analysis, grouping of data, two-dimensional presentation, multiple regression analysis, canonical correlation, outlier detection. The main objective in this study is the outlier-resistent analysis of the data and the report of the outliers which are interesting for exploration.