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), 3307-3317. (doi:10.1016/j.jspi.2004.12.010).
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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.
|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|
|Subjects:||H Social Sciences > HA Statistics|
|Divisions:||University Structure - Pre August 2011 > Southampton Statistical Sciences Research Institute
|Date Deposited:||29 Aug 2007|
|Last Modified:||27 Mar 2014 18:31|
|Contact Email Address:||T.M.F.Smith@soton.ac.uk|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
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