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A comparison of conditional Poisson sampling versus unequal probability sampling with replacement
Auteur(s)
Date de parution
2008-4-5
In
Journal of Statistical Planning and Inference
Vol.
5
No
138
De la page
1428
A la page
1432
Revu par les pairs
1
Résumé
The variance of the Horvitz–Thompson estimator for a fixed size ConditionalPoissonsampling scheme without replacement and with unequal inclusion probabilities is compared to the variance of the Hansen–Hurwitz estimator for asampling scheme with replacement. We show, using a theorem by Gabler, that the sampling design without replacement is more efficient than the sampling design with replacement.
Autre version
http://www.sciencedirect.com/science/article/pii/S0378375807002728
Type de publication
Resource Types::text::journal::journal article
