Developing a restricted two-parameter Liu-type estimator: A comparison of restricted estimators in the binary logistic regression model

DOI10.1080/03610926.2015.1137597zbMath1369.62147OpenAlexW2462186415MaRDI QIDQ5349213

Yasin Asar, Mohammad Arashi, Murat Erişoğlu

Publication date: 23 August 2017

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2015.1137597

zbMATH Keywords

mean squared errorlogistic regressionmulticollinearityrestricted estimators

Mathematics Subject Classification ID

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

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An improved and efficient biased estimation technique in logistic regression model ⋮ Modified almost unbiased Liu estimator in logistic regression ⋮ A Jackknifed estimators for the negative binomial regression model ⋮ Inverse Gaussian Liu-type estimator ⋮ Unnamed Item ⋮ Defining a two-parameter estimator: a mathematical programming evidence ⋮ Optimal stochastic restricted logistic estimator ⋮ Iterative restricted OK estimator in generalized linear models and the selection of tuning parameters via MSE and genetic algorithm

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