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Optimal sample coordination using controlled selection

Matei, Alina and Skinner, Chris (2009) Optimal sample coordination using controlled selection Journal of Statistical Planning and Inference, 139, (9), pp. 3112-3121. (doi:10.1016/j.jspi.2009.02.012).

Record type: Article

Abstract

Sample coordination maximizes or minimizes the overlap of two or more samples selected from overlapping populations. It can be applied to designs with simultaneous or sequential selection of samples. We propose a method for sample coordination in the former case. We consider the case where units are to be selected with maximum overlap using two designs with given unit inclusion probabilities. The degree of coordination is measured by the expected sample overlap, which is bounded above by a theoretical bound, called the absolute upper bound, and which depends on the unit inclusion probabilities. If the expected overlap equals the absolute upper bound, the sample coordination is maximal. Most of the methods given in the literature consider fixed marginal sampling designs, but in many cases, the absolute upper bound is not achieved. We propose to construct optimal sampling designs for given unit inclusion probabilities in order to realize maximal coordination. Our method is based on some theoretical conditions on joint selection probability of two samples and on the controlled selection method with linear programming implementation. The method can also be applied to minimize the sample overlap

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More information

Published date: September 2009
Keywords: sample surveys, sample coordination, simultaneous selection of samples, joint selection probability of two samples, linear programming

Identifiers

Local EPrints ID: 71114
URI: http://eprints.soton.ac.uk/id/eprint/71114
ISSN: 0378-3758
PURE UUID: 8d1ea4c4-cee5-4902-8831-97973578d391

Catalogue record

Date deposited: 20 Jan 2010
Last modified: 19 Jul 2017 00:01

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Contributors

Author: Alina Matei
Author: Chris Skinner

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