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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Journal Article
Systematic sampling is a minimum support design
TL;DR: In this paper, it was shown that, for any vector of inclusion probabilities, systematic sampling always provides a minimum support design, and that random systematic sampling can be viewed as the random choice of minimum support designs.
Application of Fast SAS Macros for Balancing Samples to the Selection of Addresses
Guillaume Chauvet,Yves Tillé +1 more
TL;DR: The method of balanced sampling is introduced and how to apply it to the selection of addresses in the context of the French census is explained.
Journal ArticleDOI
Balanced k-nearest neighbour imputation
Caren Hasler,Yves Tillé +1 more
TL;DR: In this paper, a hot-deck imputation method based on the k-nearest neighbor (KNN) method is proposed to handle item nonresponse, which replaces the missing values of a unit with the observed value of a similar unit.
Journal ArticleDOI
Rejoinder on: Deville and Särndal’s calibration: revisiting a 25-year-old successful optimization problem
Denis Devaud,Yves Tillé +1 more
Posted Content
Probability Sampling Designs: Principles for Choice of Design and Balancing
Yves Tillé,Matthieu Wilhelm +1 more
TL;DR: In this article, three theoretical principles are formalized: randomization, overrepresentation and restriction, and a review of probability balanced sampling is presented through the model-assisted framework, where knowledge of the population is formalized by modelling the population and the sampling design is chosen accordingly.