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Adjusted Boxplot×Bootstrap-meetodist×
ValdkondStatistikaStatistika
PerekondRegression modelRegression model
Tekkeaasta20081979
LoojaHubert & VandervierenBradley Efron
TüüpRobust outlier detection / descriptive visualizationResampling-based inference
AlgallikasHubert, M. & Vandervieren, E. (2008). An Adjusted Boxplot for Skewed Distributions. Computational Statistics & Data Analysis, 52(12), 5186-5201. DOI ↗Efron, B. (1979). Bootstrap Methods: Another Look at the Jackknife. Annals of Statistics, 7(1), 1-26. DOI ↗
Rööpnimetusedadjusted box plot, medcouple boxplot, skewness-adjusted boxplot, Düzeltilmiş Kutu Grafiği (Adjusted Boxplot)bootstrap, bootstrap resampling, nonparametric bootstrap, Bootstrap Çıkarımı
Seotud55
KokkuvõteThe Adjusted Boxplot is a robust descriptive tool introduced by Hubert and Vandervieren (2008) that corrects the classical IQR-based boxplot for skewness using the medcouple statistic, reducing the false labelling of outliers in asymmetric data.Bootstrap 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.
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ScholarGateVõrdle meetodeid: Adjusted Boxplot · Bootstrap Inference. Loetud 2026-06-15 aadressilt https://scholargate.app/et/compare