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Bootstrap inferencia×Theil-Senov odhad×
OdborŠtatistikaŠtatistika
RodinaRegression modelRegression model
Rok vzniku19791968
TvorcaBradley EfronHenri Theil (1950); P. K. Sen (1968)
TypResampling-based inferenceRobust linear regression
Pôvodný zdrojEfron, B. (1979). Bootstrap Methods: Another Look at the Jackknife. Annals of Statistics, 7(1), 1-26. DOI ↗Sen, P. K. (1968). Estimates of the Regression Coefficient Based on Kendall's Tau. Journal of the American Statistical Association, 63(324), 1379-1389. DOI ↗
Ďalšie názvybootstrap, bootstrap resampling, nonparametric bootstrap, Bootstrap ÇıkarımıTheil-Sen Tahmincisi, Theil-Sen regression, median slope estimator, Sen's slope estimator
Príbuzné56
ZhrnutieBootstrap 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.The Theil-Sen estimator is a robust linear regression method that estimates the slope as the median of the slopes computed over all pairs of data points. Introduced by Henri Theil in 1950 and extended by P. K. Sen in 1968, it tolerates outliers in the response with a breakdown point of about 29%.
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ScholarGatePorovnať metódy: Bootstrap Inference · Theil-Sen Estimator. Získané 2026-06-18 z https://scholargate.app/sk/compare