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arXiv · 2101.05568

Enhanced Cube Implementation For Highly Stratified Population

Raphaël Jauslin·Esther Eustache·Yves Tillé
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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.

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Raphaël Jauslin, Esther Eustache, Yves Tillé. 2021-01-14. Enhanced Cube Implementation For Highly Stratified Population. https://doi.org/10.1007/s42081-021-00134-y

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