Resampling under Complex Sampling Designs: Roots, Development and the Way Forward

Autor: Pier Luigi Conti, Fulvia Mecatti
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Stats, Vol 5, Iss 1, Pp 258-269 (2022)
Druh dokumentu: article
ISSN: 2571-905X
DOI: 10.3390/stats5010016
Popis: In the present paper, resampling for finite populations under an iid sampling design is reviewed. Our attention is mainly focused on pseudo-population-based resampling due to its properties. A principled appraisal of the main theoretical foundations and results is given and discussed, together with important computational aspects. Finally, a discussion on open problems and research perspectives is provided.
Databáze: Directory of Open Access Journals