ScholarGate
Assistent

Sammenlign metoder

Gjennomgå de valgte metodene side om side; rader som avviker, er uthevet.

Bootstrap-inferens×Robust korrelasjon (Spearman, Kendall og Biweight)×
FagfeltStatistikkStatistikk
FamilieRegression modelRegression model
Opprinnelsesår19792012
OpphavspersonBradley EfronSpearman rank, Kendall tau; biweight from Wilcox / Shevlyakov & Oja robust statistics tradition
TypeResampling-based inferenceRobust correlation measures
Opprinnelig kildeEfron, 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
Aliasbootstrap, bootstrap resampling, nonparametric bootstrap, Bootstrap ÇıkarımıSpearman correlation, Kendall tau, biweight midcorrelation, rank correlation
Relaterte55
SammendragBootstrap 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.
ScholarGateDatasett
  1. v1
  2. 2 Kilder
  3. PUBLISHED
  1. v1
  2. 2 Kilder
  3. PUBLISHED

Gå til søk Last ned lysbilder

ScholarGateSammenlign metoder: Bootstrap Inference · Robust Correlation. Hentet 2026-06-15 fra https://scholargate.app/no/compare