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Quasi systematic sampling

Auteur(s)
Wilhelm, Matthieu 
Institut de statistique 
Tillé, Yves 
Institut de statistique 
Date de parution
2015-6-25
Résumé
We present a family of sampling designs depending on a integer parameter r. Then, simple random sampling is a particular case of this sampling design, namely when r = 1 and the systematic sampling design is the limiting case when r tends to the infinity. For every r > 0, this sampling design has the important property to have first and second order densities which are tractable and positive. Thus, the Horvitz-Thompson estimator is unbiased and the estimator of the variance of the Horvitz-Thompson estimator is also unbiased. This family of sampling design can be used in finite population or on any finite interval of R.
Notes
, ITACOSM 2015 - ITAlian Conference On Survey Methodology, Roma, Italy
Identifiants
https://libra.unine.ch/handle/123456789/24236
Type de publication
conference presentation
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