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This communication uses symbolic data analysis tools to visualize conditional quantile estimation intervals, applying it to the problem of cost allocation in agriculture. After recalling the conceptual framework of the estimation of agricultural production costs, the first part presents the empirical model, the quantile regression approach and the interval data processing techniques used as symbolic data analysis tools. The second part presents the comparative analysis of the econometric results of pig between twelve European Member States, using the principal components analysis and the divisive hierarchical clustering of the estimation intervals, by discussing the relevance of the exploratory graphs obtained for the international comparisons.

Reference :

Dominiques Desbois, Exploring the distribution of conditional quantiles estimates: an application to specific costs of pig production in the European Union
in : Big Data, Artificial Intelligence and Data Analysis SET, Volume 7 - Applied Modeling Techniques and Data Analysis, Computational Data Analysis Methods and Tools, Yannis Dimotikalis, Alex Karagrigoriou, Christina Parpoula et Christos H. Skiadas
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