First-order \(r\)-\(d\) class estimator in binary logistic regression model

DOI10.1016/j.spl.2015.06.021zbMath1352.62117OpenAlexW2193503263MaRDI QIDQ900526

M. Revan Özkale, Engin Arıcan

Publication date: 22 December 2015

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.spl.2015.06.021

zbMATH Keywords

binary logistic regression\(r\)-\(d\) class logistic estimatorLiu logistic estimatorprincipal component logistic regression estimator

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Ridge regression; shrinkage estimators (Lasso) (62J07) Generalized linear models (logistic models) (62J12)

Related Items (3)

The red indicator and corrected VIFs in generalized linear models ⋮ A first-order approximated jackknifed ridge estimator in binary logistic regression ⋮ The r – d class estimator in generalized linear models: applications on gamma, Poisson and binomial distributed responses

Cites Work

• Using principal components for estimating logistic regression with high-dimensional multicollinear data
• A continuum of principal component generalized linear regressions
• Principal component estimation for generalized linear regression
• On Ridge Parameters in Logistic Regression
• Ridge estimation in logistic regression
• Alternative estimators in logistic regression when the data are collinear
• A Monte Carlo Evaluation of Some Ridge-Type Estimators
• A new class of blased estimate in linear regression
• Ridge Estimators in Logistic Regression
• Unnamed Item

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