Y
Yves Tillé
Researcher at University of Neuchâtel
Publications - 83
Citations - 1580
Yves Tillé is an academic researcher from University of Neuchâtel. The author has contributed to research in topics: Sampling (statistics) & Population. The author has an hindex of 20, co-authored 79 publications receiving 1356 citations. Previous affiliations of Yves Tillé include Université libre de Bruxelles & École Normale Supérieure.
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Efficient balanced sampling: The cube method
Jean-Claude Deville,Yves Tillé +1 more
TL;DR: The cube method as discussed by the authors selects approximately balanced samples with equal or unequal inclusion probabilities and any number of auxiliary variables, depending on the correlations of these variables with the controlled variables, i.e., the correlation of the variables of interest with the control variables.
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Unequal probability sampling without replacement through a splitting method
Jean-Claude Deville,Yves Tillé +1 more
TL;DR: In this paper, a general class of sampling methods without replacement and with unequal probabilities is proposed, which consists of splitting the inclusion probability vector into several new inclusion probability vectors, one of these vectors is chosen randomly; thus, the initial problem is reduced to another sampling problem with unequal probability.
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Doubly balanced spatial sampling with spreading and restitution of auxiliary totals
Anton Grafström,Yves Tillé +1 more
TL;DR: In this article, a new spatial sampling method is proposed in order to achieve a double property of balancing, where the sample is spatially balanced or well spread so as to avoid selecting neighbouring units.
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A Direct Bootstrap Method for Complex Sampling Designs From a Finite Population
Erika Antal,Yves Tillé +1 more
TL;DR: In this article, the authors proposed novel resampling methods that may be directly applied to variance estimation, which consist of selecting subsamples under a completely different sampling scheme from that which generated the original sample, which is composed of several sampling designs.
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Variance approximation under balanced sampling
Jean-Claude Deville,Yves Tillé +1 more
TL;DR: In this paper, the authors derived a general approximation of variance based on a residual technique, which is useful even in the particular case of unequal probability sampling with fixed sample size, and validated this approximation with a set of numerical studies.