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Robustna faktorska analiza×Dijagnostika uticaja (Cook-ova udaljenost, DFFITS, Leveridž)×
OblastStatistikaStatistika
PorodicaRegression modelRegression model
Godina nastanka20031977
TvoracPison, Rousseeuw, Filzmoser & CrouxR. Dennis Cook (Cook's distance); Belsley, Kuh & Welsch (DFFITS, leverage)
TipRobust latent-factor modelRegression diagnostic
Temeljni izvorPison, G., Rousseeuw, P. J., Filzmoser, P., & Croux, C. (2003). Robust factor analysis. Journal of Multivariate Analysis, 84(1), 145-172. DOI ↗Cook, R. D. (1977). Detection of Influential Observations in Linear Regression. Technometrics, 19(1), 15-18. DOI ↗
Drugi nazivirobust factor analysis, outlier-resistant factor analysis, MCD-based factor analysis, Robust Faktör AnaliziCook's distance, DFFITS, leverage, influential observation detection
Srodne55
SažetakRobust Factor Analysis recovers the latent factor structure of multivariate continuous data while resisting the distorting pull of outliers. Introduced by Pison, Rousseeuw, Filzmoser and Croux (2003), it replaces the classical sample covariance with a robust estimator such as the Minimum Covariance Determinant (MCD) or an S-estimator before extracting factors.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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ScholarGateUporedite metode: Robust Factor Analysis · Influence Diagnostics. Preuzeto 2026-06-15 sa https://scholargate.app/sr/compare