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حوزهآمارآمار
خانوادهRegression modelRegression model
سال پیدایش19792012
پدیدآورBradley EfronSpearman rank, Kendall tau; biweight from Wilcox / Shevlyakov & Oja robust statistics tradition
نوعResampling-based inferenceRobust correlation measures
منبع بنیادینEfron, 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
نام‌های دیگرbootstrap, bootstrap resampling, nonparametric bootstrap, Bootstrap ÇıkarımıSpearman correlation, Kendall tau, biweight midcorrelation, rank correlation
مرتبط55
خلاصهBootstrap 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.
ScholarGateمجموعه‌داده
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  1. v1
  2. 2 منابع
  3. PUBLISHED

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ScholarGateمقایسهٔ روش‌ها: Bootstrap Inference · Robust Correlation. بازیابی‌شده در 2026-06-15 از https://scholargate.app/fa/compare