The University of Southampton
University of Southampton Institutional Repository

Optimal sample coordination using controlled selection

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
M09/07
Southampton Statistical Sciences Research Institute, University of Southampton
Matei, Alina
16258e95-eac4-423f-838b-7f2a7bf535ba
Skinner, Chris
dec5ef40-49ef-492a-8a1d-eb8c6315b8ce
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.

Text
65595-01.pdf - Author's Original
Download (236kB)

More information

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

Catalogue record

Date deposited: 26 Feb 2009
Last modified: 13 Mar 2024 17:47

Export record

Contributors

Author: Alina Matei
Author: Chris Skinner

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×