6 citations · 6 across the 3 of their papers we have counts for
3 papers
stat.ME2026
In Search of the Most Balanced Sampling Design
Caren Hasler, Esther Eustache, Yves Tillé
Balanced sampling aims to select random samples in which the estimated totals of the auxiliary variables, weighted by the inverse of the inclusion probabilities, correspond as clos…
stat.ME2022
Quasi Model-Assisted Estimators under Nonresponse in Sample Surveys
Caren Hasler, Esther Eustache
In the presence of auxiliary information, model-assisted estimators rely on a working model linking the variable of interest to the auxiliary variables in order to improve the effi…
stat.ME2021★ 6 cited
Enhanced Cube Implementation For Highly Stratified Population
Raphaël Jauslin, Esther Eustache, Yves Tillé
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 sampl…