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Regression Analysis

Ridge Regression – A Simulation Study

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Pages 605-619 | Received 17 Jun 2005, Accepted 16 Dec 2005, Published online: 15 Feb 2007

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Fareeha Rashid, Saima Altaf & Muhammad Aslam. (2022) Bayesian estimation of the biasing parameter for ridge regression: A novel approach. Communications in Statistics - Simulation and Computation 51:12, pages 7215-7225.
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Muhammad Aslam & Shakeel Ahmad. (2022) The modified Liu-ridge-type estimator: a new class of biased estimators to address multicollinearity. Communications in Statistics - Simulation and Computation 51:11, pages 6591-6609.
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Shakeel Ahmad & Muhammad Aslam. (2022) Another proposal about the new two-parameter estimator for linear regression model with correlated regressors. Communications in Statistics - Simulation and Computation 51:6, pages 3054-3072.
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Florian Scharf, Jana Pförtner & Steffen Nestler. (2021) Can Ridge and Elastic Net Structural Equation Modeling be Used to Stabilize Parameter Estimates when Latent Factors are Correlated?. Structural Equation Modeling: A Multidisciplinary Journal 28:6, pages 928-940.
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Francisco J. Ariza-Hernandez, Flaviano Godínez-Jaimes & Ramón Reyes-Carreto. (2016) Bayesian Estimation of the Log–linear Exponential Regression Model with Censorship and Collinearity. Communications in Statistics - Simulation and Computation 45:1, pages 152-164.
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Muhammad Aslam. (2014) Performance of Kibria's Method for the Heteroscedastic Ridge Regression Model: Some Monte Carlo Evidence. Communications in Statistics - Simulation and Computation 43:4, pages 673-686.
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M. I. Alheety & T. V. Ramanathan. (2009) Confidence Interval for Shrinkage Parameters in Ridge Regression. Communications in Statistics - Theory and Methods 38:19, pages 3489-3497.
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Irum Sajjad Dar & Sohail Chand. Heteroscedasticity consistent ridge regression estimators in linear regression model. Communications in Statistics - Simulation and Computation 0:0, pages 1-13.
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Articles from other publishers (9)

Olasunkanmi James Oladapo, Janet Iyabo Idowu, Abiola Timothy Owolabi & Kayode Ayinde. (2023) A New Biased Two-Parameter Estimator in Linear Regression Model. EQUATIONS 3, pages 73-92.
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Nusrat Shaheen, Ismail Shah, Amani Almohaimeed, Sajid Ali & Hana N. Alqifari. (2023) Some Modified Ridge Estimators for Handling the Multicollinearity Problem. Mathematics 11:11, pages 2522.
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Aamna Khan, Muhammad Amanullah, Hassan M. Aljohani & Sh.A.M. Mubarak. (2021) Influence diagnostics for the Poisson regression model using two-parameter estimator. Alexandria Engineering Journal 60:5, pages 4745-4759.
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Aamna Khan, Muhammad Amanullah, Muhammad Amin, Randa Alharbi, Abdisalam Hassan Muse & M. S. Mohamed. (2021) Influence Diagnostic Methods in the Poisson Regression Model with the Liu Estimator. Computational Intelligence and Neuroscience 2021, pages 1-12.
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Ismail Shah, Faiza Sajid, Sajid Ali, Amjad Rehman, Saeed Ali Bahaj & Suliman Mohamed Fati. (2021) On the Performance of Jackknife Based Estimators for Ridge Regression. IEEE Access 9, pages 68044-68053.
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Sajjad Haider Bhatti, Shahzad Hussain, Tanvir Ahmad, Muhammad Aslam, Muhammad Aftab & Muhammad Ali Raza. (2018) Efficient estimation of Pareto model: Some modified percentile estimators. PLOS ONE 13:5, pages e0196456.
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Ka Yiu Wong & Sung Nok Chiu. (2015) An iterative approach to minimize the mean squared error in ridge regression. Computational Statistics 30:2, pages 625-639.
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Ali Erkoc, Esra Emiroglu & Kadri Ulas Akay. (2014) Graphical Evaluation of the Ridge-Type Robust Regression Estimators in Mixture Experiments. The Scientific World Journal 2014, pages 1-9.
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Gary C. McDonald. (2009) Ridge regression. WIREs Computational Statistics 1:1, pages 93-100.
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