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November 2012 On a characterization of ordered pivotal sampling
Guillaume Chauvet
Bernoulli 18(4): 1320-1340 (November 2012). DOI: 10.3150/11-BEJ380


When auxiliary information is available at the design stage, samples may be selected by means of balanced sampling. Deville and Tillé proposed in 2004 a general algorithm to perform balanced sampling, named the cube method. In this paper, we are interested in a particular case of the cube method named pivotal sampling, and first described by Deville and Tillé in 1998. We show that this sampling algorithm, when applied to units ranked in a fixed order, is equivalent to Deville’s systematic sampling, in the sense that both algorithms lead to the same sampling design. This characterization enables the computation of the second-order inclusion probabilities for pivotal sampling. We show that the pivotal sampling enables to take account of an appropriate ordering of the units to achieve a variance reduction, while limiting the loss of efficiency if the ordering is not appropriate.


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Guillaume Chauvet. "On a characterization of ordered pivotal sampling." Bernoulli 18 (4) 1320 - 1340, November 2012.


Published: November 2012
First available in Project Euclid: 12 November 2012

zbMATH: 1329.62054
MathSciNet: MR2995798
Digital Object Identifier: 10.3150/11-BEJ380

Rights: Copyright © 2012 Bernoulli Society for Mathematical Statistics and Probability


Vol.18 • No. 4 • November 2012
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