Regression model

Bootstrap Inference

Bootstrap inference, introduced by Bradley Efron in 1979, estimates the sampling distribution of a statistic by repeatedly resampling the observed data with replacement. It requires no distributional assumption and produces reliable confidence intervals even in small samples.

Použít v StatMindJiž brzyVideoJiž brzyDownload slides

Přečíst celou metodu

Pouze pro členy

Pro přečtení této sekce se přihlaste s bezplatným účtem.

Přihlásit se

Method map

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

+10 more

Zdroje

  1. Efron, B. (1979). Bootstrap Methods: Another Look at the Jackknife. Annals of Statistics, 7(1), 1-26. DOI: 10.1214/aos/1176344552
  2. Efron, B. & Tibshirani, R. J. (1993). An Introduction to the Bootstrap. Chapman & Hall/CRC Press. ISBN: 978-0412042317

Jak citovat tuto stránku

ScholarGate. (2026, June 1). Bootstrap Resampling Inference. ScholarGate. https://scholargate.app/cs/statistics/bootstrap-inference

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

Odkazuje sem

ScholarGateBootstrap Inference (Bootstrap Resampling Inference). Získáno 2026-06-15 z https://scholargate.app/cs/statistics/bootstrap-inference · Datová sada: https://doi.org/10.5281/zenodo.20539026