[Statlist] Research Seminar in Statistics *FRIDAY 13 APRIL 2018* GSEM, University of Geneva

gsem-support-instituts g@em-@upport-|n@t|tut@ @end|ng |rom un|ge@ch
Mon Apr 9 12:07:40 CEST 2018


Dear All,

We are pleased to invite you to our next Research Seminar.

Looking forward to seeing you

Organizers :                                                                                   
E. Cantoni - S. Engelke - D. La Vecchia - E. Ronchetti
S. Sperlich - F. Trojani - M.-P. Victoria-Feser

FRIDAY 13 APRIL 2018 at 11:15am, Uni-Mail M 5220

Sampling in finite population with auxiliary information and repulsion
Matthieu WILHELM - University of Neuchâtel

ABSTRACT:
Sampling in finite population is first discussed, in view of three principles: over representation, restriction and randomization. We argue that those principles should be kept in mind when designing a survey and we give rationale for their use. When auxiliary information is available, and under some reasonable model, it is possible to optimize the sampling design while keeping the design unbiasedness properties of the Horvitz-Thompson estimator of the total (or the mean) of the variable of interest. In particular, we highlight the role of balanced sampling when the assumed model is linear in terms of the auxiliary variables. Sometimes, no auxiliary information is available but a correlation between close units exists. This can be the case if the variable of interest varies smoothly across the units, for instance for a survey in real time or a spatial survey. We show that a repulsive sampling design is appropriate in this case. We then introduce a class of sampling design in finite population that allows us to control the spreading between units. We finally review spatially balanced sampling which allows to spread the sampling units as well as including auxiliary information. We will conclude the talk by discussing some modern applications of sampling in finite applications and current research in this field.


Visit the website: https://www.unige.ch/gsem/en/research/seminars/rcs/




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