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Systematic sampling is a minimal support design
Date de parution
2007-3-23
In
Computational Statistics and Data Analysis
Vol.
12
No
51
De la page
5591
A la page
5602
Revu par les pairs
1
Résumé
In order to select a sample in a finite population of N units with given inclusion probabilities, it is possible to define asamplingdesign on at most N samples that have a positive probability of being selected. Designs defined on minimal sets of samples are called minimum supportdesigns. It is shown that, for any vector of inclusion probabilities, systematicsampling always provides a minimum supportdesign. This property makes it possible to extensively compute the samplingdesign and the joint inclusion probabilities. Random systematicsampling can be viewed as the random choice of a minimum supportdesign. However, even if the population is randomly sorted, a simple example shows that some joint inclusion probabilities can be equal to zero. Another way of randomly selecting a minimum supportdesign is proposed, in such a way that all the samples have a positive probability of being selected, and all the joint inclusion probabilities are positive.
Autre version
http://www.sciencedirect.com/science/article/pii/S0167947307001661
Type de publication
Resource Types::text::journal::journal article
