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Bootstrap inferencia×Robustná korelácia (Spearman, Kendall a Biweight)×
OdborŠtatistikaŠtatistika
RodinaRegression modelRegression model
Rok vzniku19792012
TvorcaBradley EfronSpearman rank, Kendall tau; biweight from Wilcox / Shevlyakov & Oja robust statistics tradition
TypResampling-based inferenceRobust correlation measures
Pôvodný zdrojEfron, B. (1979). Bootstrap Methods: Another Look at the Jackknife. Annals of Statistics, 7(1), 1-26. DOI ↗Wilcox, R. R. (2012). Introduction to Robust Estimation and Hypothesis Testing. Academic Press. ISBN: 978-0123869838
Ďalšie názvybootstrap, bootstrap resampling, nonparametric bootstrap, Bootstrap ÇıkarımıSpearman correlation, Kendall tau, biweight midcorrelation, rank correlation
Príbuzné55
ZhrnutieBootstrap 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.Robust Correlation is a family of association measures that resist outliers, covering Spearman's rank correlation, Kendall's tau, and the biweight midcorrelation. Drawing on the robust-statistics tradition described by Wilcox (2012) and Shevlyakov & Oja (2016), it measures how strongly two variables move together without being distorted by a few extreme points.
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ScholarGatePorovnať metódy: Bootstrap Inference · Robust Correlation. Získané 2026-06-15 z https://scholargate.app/sk/compare