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Institut de statistique
Dealing with nonignorable nonresponse in survey sampling: a latent variable modelling approach
2015-6, Matei, Alina, Ranalli, Giovanna
Parameter and Functional Estimation in Semiparametric Models
2007-12, Ma, Yanyuan
Ma, Y., : , Shanghai, December 2007, invited.
Coordination of spatially balanced samples
2018-12-21, Grafström, Anton, Matei, Alina
Optimal sample coordination using controlled selection
2009-1-27, Matei, Alina, Skinner, Chris
The R 'sampling' package
2006-4, Matei, Alina, Tillé, Yves
A Very Fast Procedure for Selecting Balancing Samples
2007-4, Tillé, Yves, Chauvet, Guillaume
Evaluation of Edit and Imputation Using Robust Methods, in Methods and Experimental Results from the Euredit Project, 2nd volume of the EUREDIT scientific report
2003-3-16, Chambers, Ray, Hulliger, Beat, Béguin, Cédric
Sampling Designs From Finite Populations With Spreading Control Parameters
2018-1-10, Tillé, Yves, Qualité, Lionel, Wilhelm, Matthieu
We present a new family of sampling designs in finite population based on the use of chain processes and of multivariate discrete distributions. In Bernoulli sampling, the number of non-selected units between two selected units has a geometric distribution, while, in simple random sampling, it has a negative hypergeometric distribution. We propose to replace these distributions by more general ones, which enables us to include a tuning parameter for the joint inclusion probabilities that have a relatively simple form. An effect of repulsion or attraction can then be added in the selection of the units in such a way that a large set of new designs are defined that include Bernoulli sampling, simple random sampling and systematic sampling. A set of simulations show the interest of the method.