Calibration in survey sampling as an optimization problem

Davies, Gareth P., Gillard, Jonathan William ORCID: https://orcid.org/0000-0001-9166-298X and Zhigljavsky, Anatoly Alexandrovich ORCID: https://orcid.org/0000-0003-0630-8279 2015. Calibration in survey sampling as an optimization problem. Migdalas, Athanasios and Karakitsiou, Athanasia, eds. Optimization, Control, and Applications in the Information Age, Vol. 130. Springer Proceedings in Mathematics & Statistics, vol. 130. Springer, pp. 67-89. (10.1007/978-3-319-18567-5_4) Item availability restricted.

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Abstract

Calibration is a technique of adjusting sample weights routinely used in sample surveys. In this chapter, we consider calibration as an optimization problem and show that the choice of optimization function has an effect on the calibrated weights. We propose a class of functions that have several desirable properties, which includes satisfying necessary range restrictions for the weights. In this chapter, we explore the effect these new functions have on the calibrated weights.

Item Type:	Book Section
Date Type:	Publication
Status:	Published
Schools:	Mathematics
Subjects:	Q Science > QA Mathematics
Publisher:	Springer
ISBN:	9783319185668
ISSN:	21941009
Date of First Compliant Deposit:	30 March 2016
Date of Acceptance:	19 May 2015
Last Modified:	19 Nov 2023 16:28
URI:	https://orca.cardiff.ac.uk/id/eprint/82659

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