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
Barbiero, A., Mecatti, F. (2009). Bootstrap algorithms for variance estimation in complex survey sampling. Intervento presentato a: S.CO2009 Complex Models and Computational Methods for Estimation and Prediction, Politecnico di Milano.
Bootstrap algorithms for variance estimation in complex survey sampling
MECATTI, FULVIA
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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