"Pseudo-populations resampling for finite populations under complex designs" Pier Luigi Conti Dipartimento di Scienze Statistiche Sapienza Università di Roma Abstract: The present talk is devoted to resampling for finite populations when the sampling design is not simple. As a consequence of the complex sampling design, there is dependence among sampled units. Hence, classical Efron bootstrap does not work in the case under examination. Resampling schemes based on pseudo-populations will be developed, and their main justifications and properties will be shown. The approach used is of asymptotic nature, and parallels results obtained by Bickel and Friedman for the i.i.d. case. Main applications of theoretical results are devoted to the construction of confidence intervals for finite population parameters. Finally, computational issues will be discussed. In allegato la locandina con l'abstract e i riferimenti per partecipare al seminario in presenza e a distanza.
2 Dicembre 2022
Pier Luigi Conti
Dipartimento di Scienze Statistiche, Sapienza Università di Roma
Seminario DSS blended In presenza Room 34 (CU002) online : https://uniroma1.zoom.us/j/86881977368?pwd=SWRFc VFjMDZTa0lXZk05TE1zNm5adz09 Passcode: 432940