swMATH ID: 42876
Software Authors: Jauslin, Raphaël; Eustache, Esther; Tillé, Yves
Description: Enhanced cube implementation for highly stratified population. A balanced sampling design should always be the adopted strategy if auxiliary information is available. In addition, integrating a stratified structure of the population in the sampling process can considerably reduce the variance of the estimators. We propose here a new method to handle the selection of a balanced sample in a highly stratified population. The method improves substantially the commonly used sampling designs and reduces the time-consuming problem that could arise if inclusion probabilities within strata do not sum to an integer.
Homepage: https://arxiv.org/abs/2101.05568
Source Code:  https://github.com/RJauslin/StratifiedSampling
Dependencies: R
Keywords: balanced sampling; clustered sampling; auxiliary information; unequal probability sampling
Related Software: R
Cited in: 1 Document

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