Please use this identifier to cite or link to this item:
|Title:||Dynamic visualization of outliers and mixtures in trade data through robust methods|
|Authors:||PERROTTA Domenico; TORTI 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|
|Type:||Articles in periodicals and books|
|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|
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.