Regression model

Dvostruki (iterirani) bootstrap

Dvostruki bootstrap je metoda ponovnog uzorkovanja koja kalibrira bootstrap interval pouzdanosti drugim, ugniježđenim slojem bootstrapa kako bi se njegova stvarna pokrivenost približila nominalnoj razini. Uveden od strane Halla (1986.) i Berana (1987.), posebno je vrijedan za male uzorke i iskrivljene distribucije gdje bootstrap s jednim slojem nedovoljno pokriva.

Primijenite uz StatMindUskoroVideoUskoroDownload slides

Pročitajte cijelu metodu

Samo za članove

Prijavite se besplatnim računom kako biste pročitali ovaj odjeljak.

Prijavite se

Method map

The neighbourhood of related methods — select a node to explore.

Izvori

  1. Hall, P. (1986). On the Bootstrap and Confidence Intervals. Annals of Statistics, 14(4), 1431-1452. DOI: 10.1214/aos/1176350168
  2. Beran, R. (1987). Prepivoting to Reduce Level Error of Confidence Sets. Biometrika, 74(3), 457-468. DOI: 10.1093/biomet/74.3.457

Kako citirati ovu stranicu

ScholarGate. (2026, June 1). Double (Iterated) Bootstrap. ScholarGate. https://scholargate.app/hr/statistics/double-bootstrap

Which method?

Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

Compare side by side

Citirana u

ScholarGateDouble Bootstrap (Double (Iterated) Bootstrap). Preuzeto 2026-06-15 s https://scholargate.app/hr/statistics/double-bootstrap · Skup podataka: https://doi.org/10.5281/zenodo.20539026