Citations (49)
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M. Revan Özkale & Hüsniye Altuner. (2023) Bootstrap confidence interval of ridge regression in linear regression model: A comparative study via a simulation study. Communications in Statistics - Theory and Methods 52:20, pages 7405-7441.
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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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Robab Mehdizadeh Esfanjani, Dariush Najarzadeh, Hossein Jabbari Khamnei, Farshin Hormozinejad & Mahnaz Talebi. (2023) A Monte Carlo study on the ridge parameter of the seemingly unrelated ridge regression models. Journal of Statistical Computation and Simulation 93:13, pages 2176-2195.
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Fariba Janamiri, Abdolrahman Rasekh, Alireza Chaji & Babak Babadi. (2023) Ridge-GME estimation in linear mixed models. Communications in Statistics - Theory and Methods 52:15, pages 5115-5132.
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M. Revan Özkale & Hüsniye Altuner. (2023) Bootstrap selection of ridge regularization parameter: a comparative study via a simulation study. Communications in Statistics - Simulation and Computation 52:8, pages 3820-3838.
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Ismat Perveen & Muhammad Suhail. (2023) Bootstrap Liu estimators for Poisson regression model. Communications in Statistics - Simulation and Computation 52:7, pages 2811-2821.
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Muhammad Suhail, Sohail Chand & Muhammad Aslam. (2023) New quantile based ridge M-estimator for linear regression models with multicollinearity and outliers. Communications in Statistics - Simulation and Computation 52:4, pages 1417-1434.
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Maha Shabbir, Sohail Chand & Farhat Iqbal. (2023) A new ridge estimator for linear regression model with some challenging behavior of error term. Communications in Statistics - Simulation and Computation 0:0, pages 1-11.
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Ulduz Mammadova & M. Revan Özkale. (2023) Comparison of deviance and ridge deviance residual-based control charts for monitoring Poisson profiles. Communications in Statistics - Simulation and Computation 52:3, pages 826-853.
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Fariba Janamiri, Abdolrahman Rasekh, Alireza Chaji & Babak Babadi. (2022) Ridge estimation in linear mixed measurement error models using generalized maximum entropy. Statistics 56:5, pages 1095-1112.
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M. Sanei Tabass & G. R. Mohtashami Borzadaran. (2022) On the choice of the ridge parameter: a generalized maximum Tsallis entropy approach. Communications in Statistics - Simulation and Computation 0:0, pages 1-10.
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Adewale F. Lukman, Benedicta Aladeitan, Kayode Ayinde & Mohamed R. Abonazel. (2022) Modified ridge-type for the Poisson regression model: simulation and application. Journal of Applied Statistics 49:8, pages 2124-2136.
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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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Sangahn Kim, Myong K. (Mk) Jeong & Elsayed A. Elsayed. (2020) A penalized likelihood-based quality monitoring via L2-norm regularization for high-dimensional processes. Journal of Quality Technology 52:3, pages 265-280.
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Yasin Asar & Aşır Genç. (2017) Two-parameter ridge estimator in the binary logistic regression. Communications in Statistics - Simulation and Computation 46:9, pages 7088-7099.
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Pedro Macedo. (2017) Ridge Regression and Generalized Maximum Entropy: An improved version of the Ridge–GME parameter estimator. Communications in Statistics - Simulation and Computation 46:5, pages 3527-3539.
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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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Yasin Asar & Aşir Genç. (2016) New Shrinkage Parameters for the Liu-type Logistic Estimators. Communications in Statistics - Simulation and Computation 45:3, pages 1094-1103.
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M. Roozbeh & M. Arashi. (2014) Feasible Ridge Estimator in Seemingly Unrelated Semiparametric Models. Communications in Statistics - Simulation and Computation 43:10, pages 2593-2613.
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A. V. Dorugade. (2014) New ridge parameters for ridge regression. Journal of the Association of Arab Universities for Basic and Applied Sciences 15:1, pages 94-99.
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Kristofer Månsson, Ghazi Shukur & Pär Sjölander. (2014) A New Ridge Regression Causality Test in the Presence of Multicollinearity. Communications in Statistics - Theory and Methods 43:2, pages 235-248.
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M. Roozbeh, M. Arashi & M. Gasparini. (2012) Seemingly Unrelated Ridge Regression in Semiparametric Models. Communications in Statistics - Theory and Methods 41:8, pages 1364-1386.
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Yazid M. Al-Hassan. (2010) Performance of a new ridge regression estimator. Journal of the Association of Arab Universities for Basic and Applied Sciences 9:1, pages 23-26.
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Pedro Macedo, Manuel Scotto & Elvira Silva. (2010) On the Choice of the Ridge Parameter: A Maximum Entropy Approach. Communications in Statistics - Simulation and Computation 39:8, pages 1628-1638.
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M. A. Alkhamisi. (2010) Ridge Estimation in Linear Models with Autocorrelated Errors. Communications in Statistics - Theory and Methods 39:14, pages 2630-2644.
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Ngoc Tran. (2009) Penalized Maximum Likelihood Principle for Choosing Ridge Parameter. Communications in Statistics - Simulation and Computation 38:8, pages 1610-1624.
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M. A. Alkhamisi & G. Shukur. (2008) Developing Ridge Parameters for SUR Model. Communications in Statistics - Theory and Methods 37:4, pages 544-564.
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Articles from other publishers (21)
Melike Işılar & Y. Murat Bulut. (2023) Robust Liu‐type estimator based on GM estimator. Statistica Neerlandica 78:1, pages 167-190.
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Muhammad Amin, Hajra Ashraf, Hassan S. Bakouch & Najla Qarmalah. (2023) James Stein Estimator for the Beta Regression Model with Application to Heat-Treating Test and Body Fat Datasets. Axioms 12:6, pages 526.
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Sonam Mittal & Ashu Verma. (2023) Topology Identification of Low Voltage Distribution Networks using Smart Meter Data. Topology Identification of Low Voltage Distribution Networks using Smart Meter Data.
Thaer Hashim Abdul Muttaleb. (2023) Comparison of Some Estimator Methods of Regression Mixed Model for the Multilinearity Problem and High – Dimensional Data. Journal of Electronics,Computer Networking and Applied Mathematics:33, pages 1-11.
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Ulduz Mammadova & M. Revan Özkale. (2023) Detecting shifts in Conway–Maxwell–Poisson profile with deviance residual-based CUSUM and EWMA charts under multicollinearity. Statistical Papers.
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Mowafaq Muhammed Al-Kassab & Salisu Ibrahim. 2023. Mathematics and Computation. Mathematics and Computation
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Gaofeng Zhu, Xufeng Wang, Jingfeng Xiao, Kun Zhang, Yunquan Wang, Honglin He, Weide Li & Huiling Chen. (2022) Daytime and nighttime warming has no opposite effects on vegetation phenology and productivity in the northern hemisphere. Science of The Total Environment 822, pages 153386.
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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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Ulduz Mammadova & M. Revan Özkale. (2021) Profile monitoring for count data using Poisson and Conway–Maxwell–Poisson regression-based control charts under multicollinearity problem. Journal of Computational and Applied Mathematics 388, pages 113275.
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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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Muhammad Amin, Muhammad Qasim, Muhammad Amanullah & Saima Afzal. (2017) Performance of some ridge estimators for the gamma regression model. Statistical Papers 61:3, pages 997-1026.
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Muhammad Suhail & Sohail Chand. (2019) Performance of some new ridge regression estimators. Performance of some new ridge regression estimators.
Volkan SEVİNÇ & Atila GÖKTAŞ. (2019) A Comparison of Different Ridge Parameters under Both Multicollinearity and HeteroscedasticityÇoklu Doğrusallık ve Değişen Varyans Altında Farklı Ridge Parametrelerinin Bir Karşılaştırması. Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi 23:2, pages 381-389.
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Yasin Asar & Aşır Genç. (2017) A New Two-Parameter Estimator for the Poisson Regression Model. Iranian Journal of Science and Technology, Transactions A: Science 42:2, pages 793-803.
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Ş Çelik, T Şengül, B Söğüt, H Inci, AY Şengül, A Kayaokay & T Ayaşan. (2018) Analysis of Variables Affecting Carcass Weight of White Turkeys by Regression Analysis Based on Factor Analysis Scores and Ridge Regression. Brazilian Journal of Poultry Science 20:2, pages 273-280.
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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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Tianshu Feng, Fuzhen Zhuang & Qing He. (2015) Improving ESVM with Generalized Cross-Validation. Improving ESVM with Generalized Cross-Validation.
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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M. A. Alkhamisi. (2008) Simulation study of new estimators combining the SUR ridge regression and the restricted least squares methodologies. Statistical Papers 51:3, pages 651-672.
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Gary C. McDonald. (2009) Ridge regression. WIREs Computational Statistics 1:1, pages 93-100.
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