Quasi Random Resampling Designs for Multiple Frame Surveys

Autor: Cherif Ahmat Tidiane Aidara
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Zdroj: Statistica, Vol 79, Iss 3, Pp 321-338 (2019)
Druh dokumentu: article
ISSN: 0390-590X
1973-2201
DOI: 10.6092/issn.1973-2201/8930
Popis: 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.
Databáze: Directory of Open Access Journals