Bootstrap généralisé d'un sondage

Patrice Bertail and Pierre Combris

Annals of Economics and Statistics, 1997, issue 46, 49-83

Abstract: The generalized bootstrap, introduced by Lo [1991] and further by Mason and Newton [1992] is applied to survey sampling. The idea is to choose adequate random weights (or resampling plans) so as to imitate the initial fluctuations of the probability sampling, maybe taking into account the priorities of the survey statistician, to obtain an estimator of the distribution of the statistics. The method is applied to the construction of confidence intervals for means, ratios and fractiles of food consumption data from the household panel surveys of Secodip.

Date: 1997
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