According to Efron and Tibshirani (1993), the traditional road to statistical knowledge is blocked, for most, by a formidable wall of mathematics. The usefulness of the bootstrap method is particularly appreciable when dealing with complex estimators or non-smooth statistics. Our work is intended to find out if bootstrap methods other than the standard bootstrap can be satisfactory used to break a “thicker wall”: the dependence in data structure. In this paper we present some variants of existing bootstrap methods for complex surveys and nested multilevel models.
Refining bootstrap methods in dependent data structures : is there room for improvement? / G. Manzi - In: Royal statistical society conference book of abstracts[s.l] : Royal statistical society, 2010. (( convegno Royal statistical society conference tenutosi a Brighton nel 2010.
Refining bootstrap methods in dependent data structures : is there room for improvement?
G. ManziPrimo
2010
Abstract
According to Efron and Tibshirani (1993), the traditional road to statistical knowledge is blocked, for most, by a formidable wall of mathematics. The usefulness of the bootstrap method is particularly appreciable when dealing with complex estimators or non-smooth statistics. Our work is intended to find out if bootstrap methods other than the standard bootstrap can be satisfactory used to break a “thicker wall”: the dependence in data structure. In this paper we present some variants of existing bootstrap methods for complex surveys and nested multilevel models.
| File | Dimensione | Formato | |
|---|---|---|---|
|
ManziRSSConference2010.pdf
accesso aperto
Tipologia:
Post-print, accepted manuscript ecc. (versione accettata dall'editore)
Dimensione
12.67 kB
Formato
Adobe PDF
|
12.67 kB | Adobe PDF | Visualizza/Apri |
Pubblicazioni consigliate
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
