Enhanced Cube Implementation For Highly Stratified Population
Methodology
2022-06-03 v1
Abstract
A balanced sampling design should always be the adopted strategies if auxiliary information is available. Besides, 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 design and reduces the time-consuming problem that could arise if inclusion probabilities within strata do not sum to an integer.
Keywords
Cite
@article{arxiv.2101.05568,
title = {Enhanced Cube Implementation For Highly Stratified Population},
author = {Raphaël Jauslin and Esther Eustache and Yves Tillé},
journal= {arXiv preprint arXiv:2101.05568},
year = {2022}
}