Optimal sample coordination using controlled selection
Optimal sample coordination using controlled selection
Sample coordination maximizes or minimizes the overlap of samples selected from overlapping populations. We propose a coordination method for the case where units are to be selected with maximum overlap using two designs with given unit inclusion probabilities. Our method is based on some theoretical conditions on the joint selection probability of two samples and on the application of a controlled selection method, implemented with linear programming.
sample surveys, sample coordination, simultaneous selection of samples, joint selection probability of two samples, linear programming
Southampton Statistical Sciences Research Institute, University of Southampton
Matei, Alina
16258e95-eac4-423f-838b-7f2a7bf535ba
Skinner, Chris
dec5ef40-49ef-492a-8a1d-eb8c6315b8ce
24 February 2009
Matei, Alina
16258e95-eac4-423f-838b-7f2a7bf535ba
Skinner, Chris
dec5ef40-49ef-492a-8a1d-eb8c6315b8ce
Matei, Alina and Skinner, Chris
(2009)
Optimal sample coordination using controlled selection
(S3RI Methodology Working Papers, M09/07)
Southampton, UK.
Southampton Statistical Sciences Research Institute, University of Southampton
23pp.
Record type:
Monograph
(Working Paper)
Abstract
Sample coordination maximizes or minimizes the overlap of samples selected from overlapping populations. We propose a coordination method for the case where units are to be selected with maximum overlap using two designs with given unit inclusion probabilities. Our method is based on some theoretical conditions on the joint selection probability of two samples and on the application of a controlled selection method, implemented with linear programming.
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65595-01.pdf
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Published date: 24 February 2009
Keywords:
sample surveys, sample coordination, simultaneous selection of samples, joint selection probability of two samples, linear programming
Identifiers
Local EPrints ID: 65595
URI: http://eprints.soton.ac.uk/id/eprint/65595
PURE UUID: 8d2fb87d-35af-41a5-a706-4d70fcc6e921
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Date deposited: 26 Feb 2009
Last modified: 13 Mar 2024 17:47
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Contributors
Author:
Alina Matei
Author:
Chris Skinner
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