A continuum of principal component generalized linear regressions

DOI10.1016/0167-9473(92)90113-TzbMath0925.62305OpenAlexW1966314320MaRDI QIDQ1330508

Brian D. Marx

Publication date: 8 November 1999

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0167-9473(92)90113-t

zbMATH Keywords

scaling parameterquasistandardizationweighted multicollinearity

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Generalized linear models (logistic models) (62J12) Diagnostics, and linear inference and regression (62J20)

Related Items (7)

Restricted ridge estimator in generalized linear models: Monte Carlo simulation studies on Poisson and binomial distributed responses ⋮ A general restricted estimator in binary logistic regression in the presence of multicollinearity ⋮ Multinomial principal component logistic regression on shape data ⋮ First-order \(r\)-\(d\) class estimator in binary logistic regression model ⋮ A new biased estimator in logistic regression model ⋮ Using principal components for estimating logistic regression with high-dimensional multicollinear data ⋮ Unnamed Item

Uses Software

• GLIM

Cites Work

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• Principal component estimation for generalized linear regression
• Collinearity in generalized linear models
• Alternative estimators in logistic regression when the data are collinear
• Latent Root Regression Analysis
• Ridge Regression: Biased Estimation for Nonorthogonal Problems

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