Title: Modelling international trade data with the Tweedie distribution
Authors: BARABESI LucioCERASA ANDREAPERROTTA DomenicoCERIOLI Andrea
Citation: ICORS 2014: International Conference on Robust Statistics - Conference Guide & Book of Abstracts p. 38
Publisher: Martin-Luther-University Halle-Wittenberg
Publication Year: 2014
JRC N°: JRC90373
URI: http://publications.jrc.ec.europa.eu/repository/handle/JRC90373
Type: Articles in periodicals and books
Abstract: Robust methods are indispensable in the analysis of international trade data, as outliers and deviations from the classical model assumptions are recurring issues. The objective evaluation of such methods requires a large number of data sets articially generated with known statistical properties, which must comply with real world scenarios. This contribution shows the potential of the Tweedie distribution (Tweedie , 1984) in mimicking the distribution of the quantities of given products imported into the European Union.
JRC Directorate:Space, Security and Migration

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