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Robustna Analiza Czynnikowa×Diagnostyka wpływu (Dystans Cooka, DFFITS, dźwignia)×
DziedzinaStatystykaStatystyka
RodzinaRegression modelRegression model
Rok powstania20031977
TwórcaPison, Rousseeuw, Filzmoser & CrouxR. Dennis Cook (Cook's distance); Belsley, Kuh & Welsch (DFFITS, leverage)
TypRobust latent-factor modelRegression diagnostic
Źródło pierwotnePison, 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 ↗
Inne nazwyrobust factor analysis, outlier-resistant factor analysis, MCD-based factor analysis, Robust Faktör AnaliziCook's distance, DFFITS, leverage, influential observation detection
Pokrewne55
PodsumowanieRobust 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.
ScholarGateZbiór danych
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  2. 2 Źródła
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  1. v1
  2. 2 Źródła
  3. PUBLISHED

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ScholarGatePorównaj metody: Robust Factor Analysis · Influence Diagnostics. Pobrano 2026-06-15 z https://scholargate.app/pl/compare