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.
|Titolo:||Refining bootstrap methods in dependent data structures : is there room for improvement?|
MANZI, GIANCARLO (Primo)
|Settore Scientifico Disciplinare:||Settore SECS-S/01 - Statistica|
|Data di pubblicazione:||2010|
|Tipologia:||Book Part (author)|
|Appare nelle tipologie:||03 - Contributo in volume|