Statistical matching attempts to combine the information obtained from different, non-overlapping samples, selected from the same target population, to form a matched sample containing the data in the different samples. The aim of this paper is to propose a nonparametric approach of handling statistical matching under informative sampling and not missing at random (NMAR) nonresponse, by use of empirical likelihood.
A nonparametric approach for statistical matching under informative sampling and nonresponse / Marella, D.; Pfeffermann, D.. - (2021). (Intervento presentato al convegno Cladag 2021. 13th Scientific Meeting of the Classification and Data Analysis Group. tenutosi a online).
A nonparametric approach for statistical matching under informative sampling and nonresponse
Marella D.;
2021
Abstract
Statistical matching attempts to combine the information obtained from different, non-overlapping samples, selected from the same target population, to form a matched sample containing the data in the different samples. The aim of this paper is to propose a nonparametric approach of handling statistical matching under informative sampling and not missing at random (NMAR) nonresponse, by use of empirical likelihood.| File | Dimensione | Formato | |
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