The empirical validation of the analytical properties of sampling allocation methods is based on simulation techniques either for the whole population or for domain analysis, or for other fields of statistics. At almost negligible costs, these techniques allow for checking general properties (even asymptotic) of estimators or statistical models. The aim of this paper is to propose a simulation sampling technique – namely a stratified sampling with an ex-post ordered selection - for the detection of the most effective sampling allocation in terms of precision of estimates

On computational aspects of simulation methods in the sample allocatioon framework / P. Chiodini, G. Manzi, B. Martelli, F. Verrecchia - In: "Bringing together survey researchers in Europe conference" book of abstracts[s.l] : European survey research association, 2011. (( Intervento presentato al 4. convegno "Bringing together survey researchers in Europe" : conference of the European survey research association tenutosi a Lausanne nel 2011.

On computational aspects of simulation methods in the sample allocatioon framework

G. Manzi
Secondo
;
2011

Abstract

The empirical validation of the analytical properties of sampling allocation methods is based on simulation techniques either for the whole population or for domain analysis, or for other fields of statistics. At almost negligible costs, these techniques allow for checking general properties (even asymptotic) of estimators or statistical models. The aim of this paper is to propose a simulation sampling technique – namely a stratified sampling with an ex-post ordered selection - for the detection of the most effective sampling allocation in terms of precision of estimates
Settore SECS-S/01 - Statistica
2011
European survey research association
http://www.europeansurveyresearch.org/conferences/lausanne-2011
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/194781
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