Quasi Random Resampling Designs for Multiple Frame Surveys
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 sel...
Main Author: | |
---|---|
Format: | Article |
Language: | English |
Published: |
University of Bologna
2019-11-01
|
Series: | Statistica |
Subjects: | |
Online Access: | https://rivista-statistica.unibo.it/article/view/8930 |
id |
doaj-1706715c7a24498595e92a84738d97d8 |
---|---|
record_format |
Article |
spelling |
doaj-1706715c7a24498595e92a84738d97d82020-11-25T02:55:10ZengUniversity of BolognaStatistica0390-590X1973-22012019-11-0179332133810.6092/issn.1973-2201/89308431Quasi Random Resampling Designs for Multiple Frame SurveysCherif Ahmat Tidiane Aidara0University of The GambiaIn 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.https://rivista-statistica.unibo.it/article/view/8930multiple frame surveysbootstrap variance methodshuffled sobol sequence |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Cherif Ahmat Tidiane Aidara |
spellingShingle |
Cherif Ahmat Tidiane Aidara Quasi Random Resampling Designs for Multiple Frame Surveys Statistica multiple frame surveys bootstrap variance method shuffled sobol sequence |
author_facet |
Cherif Ahmat Tidiane Aidara |
author_sort |
Cherif Ahmat Tidiane Aidara |
title |
Quasi Random Resampling Designs for Multiple Frame Surveys |
title_short |
Quasi Random Resampling Designs for Multiple Frame Surveys |
title_full |
Quasi Random Resampling Designs for Multiple Frame Surveys |
title_fullStr |
Quasi Random Resampling Designs for Multiple Frame Surveys |
title_full_unstemmed |
Quasi Random Resampling Designs for Multiple Frame Surveys |
title_sort |
quasi random resampling designs for multiple frame surveys |
publisher |
University of Bologna |
series |
Statistica |
issn |
0390-590X 1973-2201 |
publishDate |
2019-11-01 |
description |
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. |
topic |
multiple frame surveys bootstrap variance method shuffled sobol sequence |
url |
https://rivista-statistica.unibo.it/article/view/8930 |
work_keys_str_mv |
AT cherifahmattidianeaidara quasirandomresamplingdesignsformultipleframesurveys |
_version_ |
1724717794890612736 |