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- Title
Bayesian Bootstrap in Multiple Frames.
- Authors
Cocchi, Daniela; Marchi, Lorenzo; Ievoli, Riccardo
- Abstract
Multiple frames are becoming increasingly relevant due to the spread of surveys conducted via registers. In this regard, estimators of population quantities have been proposed, including the multiplicity estimator. In all cases, variance estimation still remains a matter of debate. This paper explores the potential of Bayesian bootstrap techniques for computing such estimators. The suitability of the method, which is compared to the existing frequentist bootstrap, is shown by conducting a small-scale simulation study and a case study.
- Subjects
POPULATION; BAYESIAN analysis; RESAMPLING (Statistics); DEMOGRAPHIC surveys; DEBATE
- Publication
Stats, 2022, Vol 5, Issue 2, p561
- ISSN
2571-905X
- Publication type
Article
- DOI
10.3390/stats5020034