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.
Citazione: | 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. |
Tipo: | slide + paper |
Carattere della pubblicazione: | Scientifica |
Titolo: | Bootstrap algorithms for variance estimation in complex survey sampling |
Autori: | Barbiero, A; Mecatti, F. |
Autori: | |
Data di pubblicazione: | 2009 |
Lingua: | English |
Nome del convegno: | S.CO2009 Complex Models and Computational Methods for Estimation and Prediction |
Appare nelle tipologie: | 02 - Intervento a convegno |