StratifiedSampling 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 Standard Articles 1 Publication describing the Software, including 1 Publication in zbMATH Year Enhanced cube implementation for highly stratified population. Zbl 1478.62023Jauslin, Raphaël; Eustache, Esther; Tillé, Yves 2021 Cited by 3 Authors 1 Eustache, Esther 1 Jauslin, Raphaël 1 Tillé, Yves Cited in 1 Serial 1 Japanese Journal of Statistics and Data Science Cited in 1 Field 1 Statistics (62-XX) Citations by Year