Bayesian Bootstrap in Multiple Frames

Stats

Riccardo Ievoli¹  Daniela Cocchi²  Lorenzo Marchi³ 

[1] Department of Chemical, Pharmaceutical and Agricultural Sciences University of Ferrara, 44121 Ferrara, Italy;Department of Statistical Sciences, University of Bologna, 40126 Bologna, Italy;KU Leuven, Research Centre Insurance, 3000 Leuven, Belgium;

关键词: resampling;    complex surveys;    Pólya’s urn;    variance estimation;   

DOI  :  10.3390/stats5020034

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown