Difference-based matrix perturbation method for semi-parametric regression with multicollinearity
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Publication:5138695
DOI10.1080/02664763.2016.1247790OpenAlexW2539594486MaRDI QIDQ5138695
Yow-Jen Jou, Hsun-Jung Cho, Chien-Chia Liäm Huang
Publication date: 4 December 2020
Published in: Journal of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/02664763.2016.1247790
Generalized linear models (logistic models) (62J12) Diagnostics, and linear inference and regression (62J20)
Cites Work
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- Difference-based ridge estimator of parameters in partial linear model
- Difference based ridge and Liu type estimators in semiparametric regression models
- An elementary estimator of the partial linear model
- Ridge estimation of a semiparametric regression model
- A VIF-based optimization model to alleviate collinearity problems in multiple linear regression
- Shrinkage ridge regression in partial linear models
- Feasible Ridge Estimator in Seemingly Unrelated Semiparametric Models
- Ridge regression methodology in partial linear models with correlated errors
- A note on Stein-type shrinkage estimator in partial linear models
- Seemingly Unrelated Ridge Regression in Semiparametric Models
- Ridge estimation in logistic regression
- Semiparametric Regression for the Applied Econometrician
- A new multicollinearity diagnostic for generalized linear models
- Ridge Regression: Biased Estimation for Nonorthogonal Problems
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