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Domains of study and poststratification

Sugden, R.A. and Smith, T.M.F. (2006) Domains of study and poststratification Journal of Statistical Planning and Inference, 136, (9), pp. 3307-3317. (doi:10.1016/j.jspi.2004.12.010).

Record type: Article

Abstract

Sugden and Smith (2002. J. Statist. Plann. Inference 102, 25-38) investigated conditions under which exact linear unbiased estimators of linear estimands, and also exact quadratic unbiased estimators of quadratic estimands, could be constructed under the randomisation approach. In this paper the method is applied to domains of study and extended to poststratified estimators of finite population totals. The resulting estimators generalise some of those in Doss et al. (1979. J. Statist. Plann. Inference 3, 235-247). Some further properties of these estimators are explored.

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More information

Published date: 1 September 2006
Additional Information: Received 6 August 2004; revised 8 December 2004; accepted 9 December 2004.
Keywords: general linear estimator, exact unbiasedness, domains of study, conditional moments, unconditional moments, large sample approximations, randomisation distribution

Identifiers

Local EPrints ID: 48124
URI: http://eprints.soton.ac.uk/id/eprint/48124
ISSN: 0378-3758
PURE UUID: ae0830e6-19d2-4bc6-a927-07b5393e70f6

Catalogue record

Date deposited: 29 Aug 2007
Last modified: 17 Jul 2017 15:00

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Contributors

Author: R.A. Sugden
Author: T.M.F. Smith

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