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Calibration with Spatial Data Constraints

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Classification and Data Mining
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Abstract

We describe an approach that combines the calibrated estimation and the spatial data analysis. In particular we want to describe the possibility of using calibrated estimators when spatial constraints arise in the estimation process with respect to some information that were considered available instead. We describe some possible constraints that could emerge during the estimation procedure and we develop an example of a constrained situation where the constraints are on auxiliary information available and on the density of the units in the spatial domain considered.

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Correspondence to Ivan Arcangelo Sciascia .

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Sciascia, I.A. (2013). Calibration with Spatial Data Constraints. In: Giusti, A., Ritter, G., Vichi, M. (eds) Classification and Data Mining. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28894-4_11

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