- Statist. Surv.
- Volume 10 (2016), 1-52.
A survey of bootstrap methods in finite population sampling
We review bootstrap methods in the context of survey data where the effect of the sampling design on the variability of estimators has to be taken into account. We present the methods in a unified way by classifying them in three classes: pseudo-population, direct, and survey weights methods. We cover variance estimation and the construction of confidence intervals for stratified simple random sampling as well as some unequal probability sampling designs. We also address the problem of variance estimation in presence of imputation to compensate for item non-response.
Statist. Surv., Volume 10 (2016), 1-52.
Received: December 2014
First available in Project Euclid: 15 March 2016
Permanent link to this document
Digital Object Identifier
Mathematical Reviews number (MathSciNet)
Zentralblatt MATH identifier
Primary: 62D05: Sampling theory, sample surveys
Secondary: 62F40: Bootstrap, jackknife and other resampling methods
Mashreghi, Zeinab; Haziza, David; Léger, Christian. A survey of bootstrap methods in finite population sampling. Statist. Surv. 10 (2016), 1--52. doi:10.1214/16-SS113. https://projecteuclid.org/euclid.ssu/1458047831