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May 2003 On the Impact of Bootstrap in Survey Sampling and Small-Area Estimation
P. Lahiri
Statist. Sci. 18(2): 199-210 (May 2003). DOI: 10.1214/ss/1063994975


Development of valid bootstrap procedures has been a challenging problem for survey samplers for the last two decades. This is due to the fact that in surveys we constantly face various complex issues such as complex correlation structure induced by the survey design, weighting, imputation, small-area estimation, among others. In this paper, we critically review various bootstrap methods developed to deal with these challenging issues. We discuss two applications where the bootstrap has been found to be effective.


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P. Lahiri. "On the Impact of Bootstrap in Survey Sampling and Small-Area Estimation." Statist. Sci. 18 (2) 199 - 210, May 2003.


Published: May 2003
First available in Project Euclid: 19 September 2003

zbMATH: 1331.62076
MathSciNet: MR2019788
Digital Object Identifier: 10.1214/ss/1063994975

Keywords: imputation , Resampling , small-area estimation , survey weights

Rights: Copyright © 2003 Institute of Mathematical Statistics


Vol.18 • No. 2 • May 2003
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