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Echantillonnage représentatif optimum à probabilités inégales

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  • Pascal Ardilly

Abstract

We propose to use some inequal probability sampling algorithms in order to approach the representativeness of selected samples for a set of auxiliary variables, and to produce jointly optimal probabilities p (s) for sample selection. On French Census datas and for small sample sizes (a few units) in a modest size population (below 100 people), we may use the very simple Horvitz estimator instead of the more complex regression estimator, because we don't take into account the auxiliary information in the estimator formula, but during the procedure of selection.

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  • Pascal Ardilly, 1991. "Echantillonnage représentatif optimum à probabilités inégales," Annals of Economics and Statistics, GENES, issue 23, pages 91-113.
    • Handle: RePEc:adr:anecst:y:1991:i:23:p:91-113
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