The problem of estimating the variance of the Horvitz-Thompson estimator under a probability proportional to size design is concerned. Some IPPS-bootstrap algorithms are proposed with the purpose of both simplifying available procedures and of improving efficiency. Results from a simulation study using both natural and artificial data are presented in order to empirically study the bias and stability of the bootstrap variance estimators proposed
Bootstrap algorithms for variance estimation in complex survey sampling / A. Barbiero, F. Mecatti - In: S. Co. 2009 Sixth Conference on Complex Data Modeling and Computationally Intensive Statistical Methods for Estimation and Prediction / [a cura di] A.M. Paganoni, L.M. Sangalli, P. Secchi, S. Vantini. - [s.l] : Maggioli Editore, 2009. - ISBN 8838743851. - pp. 55-60 (( Intervento presentato al 6. convegno S.Co. 2009 tenutosi a Milano nel 2009.
Bootstrap algorithms for variance estimation in complex survey sampling
A. BarbieroPrimo
;
2009
Abstract
The problem of estimating the variance of the Horvitz-Thompson estimator under a probability proportional to size design is concerned. Some IPPS-bootstrap algorithms are proposed with the purpose of both simplifying available procedures and of improving efficiency. Results from a simulation study using both natural and artificial data are presented in order to empirically study the bias and stability of the bootstrap variance estimators proposed
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