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Pré-Publication, Document De Travail Année : 2024

Asymptotic properties of cross-classified sampling designs

Propriétés asymptotiques des plans produits

Résumé

We investigate the family of cross-classified sampling designs across an arbitrary number of dimensions. We introduce a variance decomposition that enables the derivation of general asymptotic properties for these designs and the development of straightforward and asymptot- ically unbiased variance estimators. Additionally, we demonstrate the suitability of weighted bootstrap techniques for CCS, given the availability of a weighted bootstrap technique in each dimension. Our conclusions are supported by an extensive simulation study. Finally, we apply the proposed methods to a French longitudinal survey conducted among children.
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Dates et versions

hal-04579261 , version 1 (17-05-2024)

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  • HAL Id : hal-04579261 , version 1

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Jean Rubin, Guillaume Chauvet. Asymptotic properties of cross-classified sampling designs. 2024. ⟨hal-04579261⟩
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