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Winsorizirana procjena×Dijagnostika utjecaja (Cookova udaljenost, DFFITS, poluga)×
PodručjeStatistikaStatistika
ObiteljRegression modelRegression model
Godina nastanka19601977
TvoracDixon (1960); robust estimation tradition (Wilcox)R. Dennis Cook (Cook's distance); Belsley, Kuh & Welsch (DFFITS, leverage)
VrstaRobust location/scale estimatorRegression diagnostic
Temeljni izvorDixon, W. J. (1960). Simplified Estimation from Censored Normal Samples. Annals of Mathematical Statistics, 31(2), 385-391. DOI ↗Cook, R. D. (1977). Detection of Influential Observations in Linear Regression. Technometrics, 19(1), 15-18. DOI ↗
Drugi naziviwinsorization, winsorized mean, Winsorize Edilmiş TahminCook's distance, DFFITS, leverage, influential observation detection
Srodne55
SažetakWinsorized estimation is a robust technique that reduces the influence of outliers by clamping the extreme percentiles of a distribution to a chosen threshold. Introduced by Dixon (1960) and developed in the robust-estimation tradition of Wilcox, it keeps every observation in the sample rather than discarding any.Influence diagnostics are a family of post-fit measures that quantify how much each single observation affects a fitted regression. Cook's distance was introduced by R. Dennis Cook in 1977, with leverage and DFFITS formalised by Belsley, Kuh and Welsch in 1980, to flag the observations that most strongly pull the estimated coefficients.
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ScholarGateUsporedite metode: Winsorized Estimation · Influence Diagnostics. Preuzeto 2026-06-18 s https://scholargate.app/hr/compare