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Regression model

Topelt (iteratiivne) bootstrap

Topelt-bootstrap on ümbervalimi meetod, mis kalibreerib bootstrap-usaldusintervalli teise, pesastatud bootstrap-kihiga, et selle tegelik katvus oleks nominaalse tasemele lähemal. Hall (1986) ja Beran (1987) poolt tutvustatud meetod on eriti väärtuslik väikeste valimite ja kaldus jaotuste korral, kus ühekihiline bootstrap alahindab katvust.

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Ainult liikmetele

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Logi sisse

Method map

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

Allikad

  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

Kuidas sellele lehele viidata

ScholarGate. (2026, June 1). Double (Iterated) Bootstrap. ScholarGate. https://scholargate.app/et/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

Sellele viitavad

ScholarGateDouble Bootstrap (Double (Iterated) Bootstrap). Loetud 2026-06-15 aadressilt https://scholargate.app/et/statistics/double-bootstrap · Andmestik: https://doi.org/10.5281/zenodo.20539026