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 / Chiodini, P.; Manzi, G.; Martelli, B.; Verrecchia, F.. - (2011). (Intervento presentato al convegno "Bringing together survey researchers in Europe" : conference of the European survey research association tenutosi a Lausanne).
On computational aspects of simulation methods in the sample allocatioon framework
G. Manzi;
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 estimatesI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
