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Efficient balanced sampling: The cube method

Jean-Claude Deville & Yves Tillé

Résumé A balanced sampling design is defined by the property that the Horvitz–Thompson estimators of the population totals of a set of auxiliary variables equal the known totals of these variables. Therefore the variances of estimators of totals of all the variables of interest are reduced, depending on the correlations of these variables with the controlled variables. In this paper, we develop a general method, called the cube method, for selecting approximately balanced samples with equal or unequal inclusion probabilities and any number of auxiliary variables.
   
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Citation Deville, J. C., & Tillé, Y. (2004). Efficient balanced sampling: The cube method. Biometrika, 91(4), 893-912.
   
Type Article de périodique (Anglais)
Date de publication 23-3-2004
Nom du périodique Biometrika
Volume 91
Numéro 4
Pages 893-912
URL http://biomet.oxfordjournals.org/content/91/4/893.abstract