Quasi Random Resampling Designs for Multiple Frame Surveys

Cherif Ahmat Tidiane Aidara ()
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Cherif Ahmat Tidiane Aidara: Department of Mathematics, University of The Gambia

Statistica, 2019, vol. 79, issue 3, 321-338

Abstract: In this paper, we present two new algorithms that use the shuffled Sobol sequence to generate the bootstrap resampling designs in multiple frame surveys. We investigate the performance of the proposed algorithms in a simulation study using a three-overlapping frame setup design. The samples were selected independently from the frames using a stratified simple random sampling design. The performance of the proposed methods is comparable with the already established ones such as the Lohr-Rao bootstrap methods for multiple frame surveys in terms of relative percentage bias, coefficient of variation, and empirical coverage probabilities of 95 percent confidence interval.

Keywords: Multiple frame surveys; Bootstrap variance method; Shuffled Sobol sequence (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:bot:rivsta:v:79:y:2019:i:3:p:321-338

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