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बूटस्ट्रैप अनुमान×मजबूत सहसंबंध (स्पीयरमैन, केंडल, और बाईवेट)×
क्षेत्रसांख्यिकीसांख्यिकी
परिवारRegression modelRegression model
उद्भव वर्ष19792012
प्रवर्तकBradley EfronSpearman rank, Kendall tau; biweight from Wilcox / Shevlyakov & Oja robust statistics tradition
प्रकारResampling-based inferenceRobust correlation measures
मौलिक स्रोतEfron, 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
उपनामbootstrap, bootstrap resampling, nonparametric bootstrap, Bootstrap ÇıkarımıSpearman correlation, Kendall tau, biweight midcorrelation, rank correlation
संबंधित55
सारांशBootstrap 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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ScholarGateविधियों की तुलना करें: Bootstrap Inference · Robust Correlation. 2026-06-15 को यहाँ से प्राप्त https://scholargate.app/hi/compare