Title: Dynamic visualization of outliers and mixtures in trade data through robust methods
Authors: PERROTTA DomenicoTORTI Francesca
Citation: Statistical Methods for the analysis of large data-sets - Book of short papers, ISBN 978-88-6129-425-7 p. 157-160
Publisher: CLEUP sc - Cooperativa Libraria Editrice Universita' di Padova
Publication Year: 2009
JRC N°: JRC51956
URI: http://publications.jrc.ec.europa.eu/repository/handle/JRC51956
Type: Contributions to Conferences
Abstract: This contribution is about the analysis of international trade data through a robust approach for the identification of outliers and regression mixtures called Forward Search. The focus is on interactive tools that we have developed to dynamically connect the information which comes from different robust plots and from the trade flows in the input datasets. The work originated from the need to provide the statistician with new robust exploratory data analysis tools. However the focus here is on the interpretation of the results by the end-user. We argue that with the proposed interactive graphical tools the end-user can combine effectively subject matter knowledge with information provided by the statistical method and draw conclusions of relevant operational value.
JRC Institute:Institute for the Protection and Security of the Citizen

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