Login
Probability sampling designs: Balancing and principles for choice of design
Résumé In this paper, we first aim to formalize the choice of the sampling design for a particular estimation problem. Next several principles are proposed: randomization, over-representation and restriction. These principles are fundamental to assist in the determination of the most appropriate design.
A priori knowledge of the population can be also formalized by modelling the population, which can be helpful when choosing the sampling design. We present a list of sampling designs by specifying their corresponding models and the principles used to derive them. Emphasis is placed on new spatial sampling methods and their related models. A simulation shows the advantages of the different methods.
   
Mots-clés design-based, entropy, model-based, pivotal
method, spatial sampling
   
Citation Tillé, Y., & Wilhelm, M. (2017). Probability sampling designs: Balancing and principles for choice of design. Statistical Science, 32(2), 176-189.
   
Type Article de périodique (Anglais)
Date de publication 20-12-2017
Nom du périodique Statistical Science
Volume 32
Numéro 2
Pages 176-189
URL https://arxiv.org/abs/1612.04965