Influence diagnostics for fractional principal components estimators in regression

DOI10.1080/03610919008812898zbMath0850.62575OpenAlexW2038203626MaRDI QIDQ4019206

Esteban Walker

Publication date: 16 January 1993

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610919008812898

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Estimation in multivariate analysis (62H12) Linear regression; mixed models (62J05) Diagnostics, and linear inference and regression (62J20)

Related Items (2)

Adaptive unified biased estimators of parameters in linear model ⋮ Influence measures based on confidence ellipsoids in general linear regression model with correlated regressors

Cites Work

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• Fractional principal components regression: a general approach to biased estimators
• Detection of collinearity- influential observations
• Corrigenda to Leone, White, Narula and Narula
• Augmented Robust Estimators

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