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Permutační (randomizační) test×Robustní korelace (Spearmanova, Kendallova a biweightová)×
OborStatistikaStatistika
RodinaRegression modelRegression model
Rok vzniku20052012
TvůrceGood (2005); Edgington & Onghena (2007); resampling traditionSpearman rank, Kendall tau; biweight from Wilcox / Shevlyakov & Oja robust statistics tradition
TypNonparametric resampling testRobust correlation measures
Původní zdrojGood, P. (2005). Permutation, Parametric and Bootstrap Tests of Hypotheses (3rd ed.). Springer. ISBN: 978-0387202792Wilcox, R. R. (2012). Introduction to Robust Estimation and Hypothesis Testing. Academic Press. ISBN: 978-0123869838
Další názvyrandomization test, exact permutation test, re-randomization test, Permütasyon TestiSpearman correlation, Kendall tau, biweight midcorrelation, rank correlation
Příbuzné55
ShrnutíThe permutation test is a nonparametric resampling procedure that builds the sampling distribution of a test statistic directly from the data by repeatedly shuffling the group labels. Developed in the resampling tradition and treated systematically by Good (2005) and Edgington & Onghena (2007), it requires no parametric distributional assumption and yields an exact p-value.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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ScholarGatePorovnat metody: Permutation Test · Robust Correlation. Získáno 2026-06-15 z https://scholargate.app/cs/compare