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Review Article

New ridge parameters for ridge regressionFootnote

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Danish Wasim, Sajjad Ahmad Khan & Muhammad Suhail. (2023) Modified robust ridge M-estimators for linear regression models: an application to tobacco data. Journal of Statistical Computation and Simulation 93:15, pages 2703-2724.
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Abdul Majid, Muhammad Amin, Muhammad Aslam & Shakeel Ahmad. (2023) New robust ridge estimators for the linear regression model with outliers. Communications in Statistics - Simulation and Computation 52:10, pages 4717-4738.
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Xingyun Cao, Danlu Wang & Liucang Wu. (2023) Performance of ridge estimator in skew-normal mode regression model. Communications in Statistics - Simulation and Computation 52:3, pages 1164-1177.
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Atila Göktaş, Özge Akkuş & Aykut Kuvat. (2021) A new robust ridge parameter estimator based on search method for linear regression model. Journal of Applied Statistics 48:13-15, pages 2457-2472.
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Mohamed R. Abonazel & Ibrahim M. Taha. (2021) Beta ridge regression estimators: simulation and application. Communications in Statistics - Simulation and Computation 0:0, pages 1-13.
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Selman Mermi, Atila Göktaş & Özge Akkuş. (2021) Are most proposed ridge parameter estimators skewed and do they have any effect on MSE values?. Journal of Statistical Computation and Simulation 91:10, pages 2074-2093.
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K. Avrachenkov, P. Chebotarev & A. Mishenin. (2017) Semi-supervised learning with regularized Laplacian. Optimization Methods and Software 32:2, pages 222-236.
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A.V. Dorugade. (2016) Adjusted ridge estimator and comparison with Kibria’s method in linear regression. Journal of the Association of Arab Universities for Basic and Applied Sciences 21:1, pages 96-102.
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Adnan Karaibrahimoğlu, Yasin Asar & Aşir Genç. (2016) Some new modifications of Kibria’s and Dorugade’s methods: An application to Turkish GDP data. Journal of the Association of Arab Universities for Basic and Applied Sciences 20:1, pages 89-99.
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Articles from other publishers (14)

Mansour F. Yassen, Fuad S. Al-Duais & Mohammed M. A. Almazah. (2022) Ridge Regression Method and Bayesian Estimators under Composite LINEX Loss Function to Estimate the Shape Parameter in Lomax Distribution. Computational Intelligence and Neuroscience 2022, pages 1-10.
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Yue Wang, Rongzhu Qin, Huzi Cheng, Tiangang Liang, Kaiping Zhang, Ning Chai, Jinlong Gao, Qisheng Feng, Mengjing Hou, Jie Liu, Chenli Liu, Wenjuan Zhang, Yanjie Fang, Jie Huang & Feng Zhang. (2022) Can Machine Learning Algorithms Successfully Predict Grassland Aboveground Biomass?. Remote Sensing 14:16, pages 3843.
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Wanxing Sheng, Keyan Liu, Dongli Jia, Shuo Chen & Rongheng Lin. (2022) Short-Term Load Forecasting Algorithm Based on LST-TCN in Power Distribution Network. Energies 15:15, pages 5584.
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Ahad Yasin, Muhammad Amin, Muhammad Qasim, Abdisalam Hassan Muse & Adam Braima Soliman. (2022) More on the Ridge Parameter Estimators for the Gamma Ridge Regression Model: Simulation and Applications. Mathematical Problems in Engineering 2022, pages 1-18.
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Melike IŞILAR & Y. Murat BULUT. (2021) Farklı Yanlılık Parametreleri İçin Ridge GM Tahmin Edicilerinin Performanslarının KarşılaştırılmasıComparison of the Performances of Ridge GM Estimators for Different Biased Parameters. Bilecik Şeyh Edebali Üniversitesi Fen Bilimleri Dergisi 8:1, pages 203-216.
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Nadwa Khazaal Rashad, Nawal Mahmood Hammood & Zakariya Yahya Algamal. (2021) Generalized ridge estimator in negative binomial regression model. Journal of Physics: Conference Series 1897:1, pages 012019.
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Nandana Sengupta & Fallaw Sowell. (2020) On the Asymptotic Distribution of Ridge Regression Estimators Using Training and Test Samples. Econometrics 8:4, pages 39.
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Bülent TÜTMEZ. (2020) İstatistiksel Öğrenmeye Dayalı Düzenlemeyle Hava Kalitesinin Değerlendirilmesi. Çukurova Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi, pages 271-278.
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Sebastian Gnat. (2020) Impact of the Regularization of Regression Models on the Results of the Mass Valuation of Real Estate. Folia Oeconomica Stetinensia 20:1, pages 163-176.
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Sergio Perez-Melo & B. M. Golam Kibria. (2020) On Some Test Statistics for Testing the Regression Coefficients in Presence of Multicollinearity: A Simulation Study. Stats 3:1, pages 40-55.
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Jian Xu & Yongrong Cao. (2019) Innovation, the Flying Geese Model, IPR Protection, and Sustainable Economic Development in China. Sustainability 11:20, pages 5707.
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Adewale F. Lukman, Kayode Ayinde, Sek Siok Kun & Emmanuel T. Adewuyi. (2019) A Modified New Two-Parameter Estimator in a Linear Regression Model. Modelling and Simulation in Engineering 2019, pages 1-10.
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Adewale Folaranmi Lukman, Kayode Ayinde & Adegoke S. Ajiboye. (2017) Monte Carlo study of some classification-based ridge parameter estimators. Journal of Modern Applied Statistical Methods 16:1, pages 428-451.
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Vishal Modagekar, Shaikh Abdul Karim, Navdeep Singh & Faruk Kazi. (2017) Optimization in Tri-Axial Degaussing System Design and Estimation of Degaussing Coil Currents. IEEE Transactions on Magnetics 53:4, pages 1-12.
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