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الاستدلال بالتمهيد×الارتباط المتين (سبيرمان، كندال، والوسط المرجح)×
المجالالإحصاءالإحصاء
العائلةRegression modelRegression model
سنة النشأة19792012
صاحب الطريقةBradley EfronSpearman rank, Kendall tau; biweight from Wilcox / Shevlyakov & Oja robust statistics tradition
النوعResampling-based inferenceRobust correlation measures
المصدر التأسيسيEfron, 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
الأسماء البديلةbootstrap, bootstrap resampling, nonparametric bootstrap, Bootstrap ÇıkarımıSpearman correlation, Kendall tau, biweight midcorrelation, rank correlation
ذات صلة55
الملخصBootstrap 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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ScholarGateقارن الطرق: Bootstrap Inference · Robust Correlation. استُرجع بتاريخ 2026-06-15 من https://scholargate.app/ar/compare