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Bootstrap généralisé d'un sondage

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  • Patrice Bertail
  • Pierre Combris

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.

Suggested Citation

  • Patrice Bertail & Pierre Combris, 1997. "Bootstrap généralisé d'un sondage," Annals of Economics and Statistics, GENES, issue 46, pages 49-83.
    • Handle: RePEc:adr:anecst:y:1997:i:46:p:49-83
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    File URL: http://www.jstor.org/stable/20076068
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    Cited by:

    1. Beaumont, Jean-François & Charest, Anne-Sophie, 2012. "Bootstrap variance estimation with survey data when estimating model parameters," Computational Statistics & Data Analysis, Elsevier, vol. 56(12), pages 4450-4461.

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