Search results for "Stochastic Kernel"
showing 3 items of 3 documents
The polarization of European agriculture: spatial and dynamic features within a non parametric framework
2009
We present a study of the polarization of European agriculture at NUTS2 regional level. The analysis of selected indicators focuses on spatial and dynamic features of distributions. We make use of the non parametric technique of stochastic kernel which allows to explore the features of a whole distribution and to point out the clustering of statistical units.
Stochastic kernel and conditioning schemes: a study about the influence of spatial factor on agriculture of EU NUTS2
2009
Besides to be an useful methodology for the detection of distribution dynamics of indicators, stochastic kernel has been generalized to a regression-like rationale (Quah, 1997). The latter allows to determine how a distribution is influenced by a "factor", through a "conditioning scheme" which is a set of rules stating how the original distribution is altered in order to obtain its "conditioned" version. This paper aims to study the influence of the "spatial factor" on distributions of selected agriculture impact indicators across EU NUTS2. The present work offers an empirical analysis of dynamics of selected indicators of agriculture across NUTS2. Our scope is to give an overlook of EU ter…
On rural development of NUTS 2 and 3: a non parametric approach of distribution dynamics analysis
2008
This work presents a study about dynamics of territorial gaps in agriculture between EU NUTS 2 and 3 from three perspectives: agricultural production model, rural development and productivity. Our choice of methodology is driven by two considerations. First of all, different performances in agriculture of EU areas may lead to multimodal distributions of indicators, and this implies that no significant average behaviour a parametric estimates refers to can be identified. Secondly, even if one wants to highlight multimodality within distributions, techniques like univariate density estimates can not catch intra-distribution dynamics which lead to the formation of "poles" of units showing a "s…