Performance of the almost unbiased ridge-type principal component estimator in logistic regression model

DOI10.1080/03610918.2017.1364384OpenAlexW2743806717MaRDI QIDQ5085072

Yasin Asar, Jibo Wu

Publication date: 29 June 2022

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

Full work available at URL: https://doi.org/10.1080/03610918.2017.1364384

zbMATH Keywords

eigenvalueslogistic regression modelprincipal componentalmost unbiased ridge estimatorscalar mean squared error

Mathematics Subject Classification ID

Ridge regression; shrinkage estimators (Lasso) (62J07) General nonlinear regression (62J02)

Related Items (2)

On the performance of some new Liu parameters for the gamma regression model ⋮ Almost unbiased ridge estimator in the gamma regression model

Uses Software

• aplore3

Cites Work

• Using principal components for estimating logistic regression with high-dimensional multicollinear data
• Improved ridge regression estimators for the logistic regression model
• On almost unbiased ridge logistic estimator for the logistic regression model
• Principal component estimation for generalized linear regression
• New Shrinkage Parameters for the Liu-type Logistic Estimators
• Ridge estimation in logistic regression
• A Monte Carlo Evaluation of Some Ridge-Type Estimators
• Performance of Some New Ridge Regression Estimators
• Ridge Estimators in Logistic Regression
• Applied Logistic Regression
• Liu-Type Logistic Estimator
• Modified Liu-Type Estimator Based on (r − k) Class Estimator
• Some new methods to solve multicollinearity in logistic regression
• A new biased estimator in logistic regression model

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