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.
Luigi Conti, P., Mecatti, F. (2022). Resampling under Complex Sampling Designs: Roots, Development and the Way Forward. STATS, 5(1), 258-269 [10.3390/stats5010016].
Resampling under Complex Sampling Designs: Roots, Development and the Way Forward
Fulvia Mecatti
2022
Abstract
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.
File in questo prodotto:
| File | Dimensione | Formato | |
|---|---|---|---|
|
Conti-2022-Stats-VoR.pdf
accesso aperto
Tipologia di allegato:
Publisher’s Version (Version of Record, VoR)
Licenza:
Creative Commons
Dimensione
292.74 kB
Formato
Adobe PDF
|
292.74 kB | Adobe PDF | Visualizza/Apri |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
