A new biased estimator in logistic regression model

DOI10.1080/02331888.2015.1123711zbMath1342.62120OpenAlexW2292883286MaRDI QIDQ5739661

Engin Arıcan, M. Revan Özkale

Publication date: 19 July 2016

Published in: Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02331888.2015.1123711

zbMATH Keywords

maximum likelihood estimatormulticollinearitybinary dataridge logistic estimatorprincipal components 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 (7)

Identification of outlying and influential data with principal components regression estimation in binary logistic regression ⋮ Performance of the almost unbiased ridge-type principal component estimator in logistic regression model ⋮ A general restricted estimator in binary logistic regression in the presence of multicollinearity ⋮ A first-order approximated jackknifed ridge estimator in binary logistic regression ⋮ Modified ridge-type estimator for the inverse Gaussian regression model ⋮ Some r – k class proportional hazard regression models in the presence of collinearity: an evidence from Indian infant mortality ⋮ The r-k class estimator in generalized linear models applicable with simulation and empirical study using a Poisson and Gamma responses

Cites Work

• Using principal components for estimating logistic regression with high-dimensional multicollinear data
• Mean square error matrix comparison of some estimators in linear regressions with multicollinearity
• 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
• Ridge regression:some simulations
• On ordinary ridge regression in generalized linear models
• Collinearity in generalized linear regression
• Ridge Estimators in Logistic Regression
• Combining the unrestricted estimators into a single estimator and a simulation study on the unrestricted estimators
• Principal components regression estimator and a test for the restrictions

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