On a new class of binomial ridge-type regression estimators

DOI10.1080/03610918.2019.1711409zbMath1487.62083OpenAlexW2999196201WikidataQ126346626 ScholiaQ126346626MaRDI QIDQ5866158

Mahmoud A. Abdel-Fattah

Publication date: 13 June 2022

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

Full work available at URL: https://doi.org/10.1080/03610918.2019.1711409

zbMATH Keywords

maximum likelihoodshrinkage estimatorsmulticollinearitybinomial modelridge estimator

Mathematics Subject Classification ID

Ridge regression; shrinkage estimators (Lasso) (62J07)

Uses Software

• R
• smdata

Cites Work

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• Goodness-of-link testing in ordinal regression models
• Goodness of Link Tests for Generalized Linear Models
• On two families of transformations to additivity for binary response data
• REVIEW AND CLASSIFICATIONS OF THE RIDGE PARAMETER ESTIMATION TECHNIQUES
• Performance of Some New Ridge Regression Estimators
• Using Liu-Type Estimator to Combat Collinearity
• Liu-Type Logistic Estimator
• Some new methods to solve multicollinearity in logistic regression

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