Please use this identifier to cite or link to this item:
|Title:||Robust Dynamic Plots for Detection of Regression Outliers and Mixtures|
|Authors:||PERROTTA Domenico; TORTI Francesca; RIANI Marco|
|Citation:||The ICORS09 International Conference of Robust Statistics, Book of Abstracts p. 118|
|Type:||Articles in periodicals and books|
|Abstract:||One of the biggest challenges of the statisticians is to be able to effectively present and communicate statistical results. This happens in particular when working on applied problems with non-statisticians. For example in the Joint Research Centre (JRC) of the European Commission the authors and other statisticians cooperate with the European Anti-Fraud Office (OLAF) to highlight in European trade data potential cases of fraud, data quality issues and other oddities related to specific international trade contexts. We have recently developed interactive tools for dynamically linking the information which comes from different robust plots and by providing the user with flexible selection tools. In the poster we describe these new robust graphical tools and we show how they can be used to explore complex structures in the data such as groups of outliers and linear mixtures. A real life demonstration will be given using our MATLAB toolbox on several datasets, including trade data affected by various types of oddities.|
|JRC Institute:||Institute for the Protection and Security of the Citizen|
Files in This Item:
There are no files associated with this item.
Items in repository are protected by copyright, with all rights reserved, unless otherwise indicated.