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Jauslin, Raphaël

Nom
Jauslin, Raphaël
Affiliation principale
Email
raphaël.jauslin@unine.ch
Identifiants
https://libra.unine.ch/handle/123456789/30755

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  • Publication
    Accès libre
    An Efficient Approach for Statistical Matching of Survey Data Trough Calibration, Optimal Transport and Balanced Sampling
    (2022)
    Jauslin, Raphaël 
    ;
    Tillé, Yves 
    Statistical matching aims to integrate two statistical sources. These sources can be two samples or a sample and the entire population. If two samples have been selected from the same population and information has been collected on different variables of interest, then it is interesting to match the two surveys to analyse, for example, contingency tables or correlations. In this paper, we propose an efficient method for matching two samples that may each contain a weighting scheme. The method matches the records of the two sources. Several variants are proposed in order to create a directly usable file integrating data from both information sources.