Data fusion consists of merging information coming from two different surveys. The first one is called reference or donor survey while the second is called punctual or receptor survey. In order to perform data fusion, such two independent surveys must have a block of common variables that is used as a bridge between them. A natural question that arise from data fusion definition is: it is always possible to take a merging of two different surveys coming from two independent samples? This work is about the possibility to evaluate the interrelation structure between the common variables aimed to define some criteria which allows to define them as ”similar”.

Assessing assumptions for data fusion procedures

PISCITELLI, ALFONSO;D'AMBROSIO, ANTONIO
2012

Abstract

Data fusion consists of merging information coming from two different surveys. The first one is called reference or donor survey while the second is called punctual or receptor survey. In order to perform data fusion, such two independent surveys must have a block of common variables that is used as a bridge between them. A natural question that arise from data fusion definition is: it is always possible to take a merging of two different surveys coming from two independent samples? This work is about the possibility to evaluate the interrelation structure between the common variables aimed to define some criteria which allows to define them as ”similar”.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/456268
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