On the stochastic restricted Liu estimator in logistic regression model

DOI10.1080/00949655.2020.1790561OpenAlexW3041825449MaRDI QIDQ5036906

Jibo Wu, Yasin Asar, Yong Li

Publication date: 23 February 2022

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2020.1790561

zbMATH Keywords

multicollinearitylogistic regression modelstochastic restricted Liu estimatorLiu logistic estimator

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Ridge regression; shrinkage estimators (Lasso) (62J07) Linear regression; mixed models (62J05) Statistics (62-XX)

Uses Software

• R
• aplore3

Cites Work

• Unnamed Item
• Using principal components for estimating logistic regression with high-dimensional multicollinear data
• Logistic Liu estimator under stochastic linear restrictions
• Linear models and generalizations. Least squares and alternatives. With contributions by Michael Schomaker.
• On almost unbiased ridge logistic estimator for the logistic regression model
• 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
• Applied Logistic Regression
• Liu-Type Logistic Estimator
• A restricted Liu estimator for binary regression models and its application to an applied demand system
• Ridge Regression: Biased Estimation for Nonorthogonal Problems

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