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Communications in Statistics - Simulation and Computation Volume 50, 2021 - Issue 8
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Original Articles

A comparison of some new and old robust ridge regression estimators

Sajid Alia Department of Statistics, Quaid-i-Azam University, Islamabad, Pakistan
,
Himmad Khanb Government Higher Secondary School Aboha, Swat, Pakistan
,
Ismail Shaha Department of Statistics, Quaid-i-Azam University, Islamabad, PakistanCorrespondence[email protected]
,
Muhammad Moeen Buttc Department of Quantitative Methods, School of Business and Economics, University of Management and Technology, Lahore, Pakistan
&
Muhammad Suhaild College of Statistical and Actuarial Sciences, University of the Punjab, Lahore, Pakistan;e Department of Statistics, Mathematics and Computer Science, The University of Agriculture, Peshawar, Khyber Pakhtunkhwa, PakistanORCID Iconhttps://orcid.org/0000-0003-1784-5272
ORCID Icon
Pages 2213-2231 | Received 15 Mar 2019, Accepted 15 Mar 2019, Published online: 03 Apr 2019

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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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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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Muhammad Shakir Khan, Amjad Ali, Muhammad Suhail, Fuad A. Awwad, Emad A. A. Ismail & Hijaz Ahmad. (2023) On the performance of two-parameter ridge estimators for handling multicollinearity problem in linear regression: Simulation and application. AIP Advances 13:11.
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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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Ismail Shah, Hina Naz, Sajid Ali, Amani Almohaimeed & Showkat Ahmad Lone. (2023) A New Quantile-Based Approach for LASSO Estimation. Mathematics 11:6, pages 1452.
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Iqra Babar & Sohail Chand. (2022) Weighted ridge and Liu estimators for linear regression model. Concurrency and Computation: Practice and Experience 34:27.
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Zakariya Yahya Algamal, Adewale F. Lukman, Mohamed R. Abonazel & Fuad A. Awwad. (2022) Performance of the Ridge and Liu Estimators in the zero-inflated Bell Regression Model. Journal of Mathematics 2022, pages 1-15.
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Aydın Karakoca. (2022) A New Type Iterative Ridge Estimator: Applications and Performance Evaluations. Journal of Mathematics 2022, pages 1-12.
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Fuad A. Awwad, Issam Dawoud & Mohamed R. Abonazel. (2021) Development of robust Özkale–Kaçiranlar and Yang–Chang estimators for regression models in the presence of multicollinearity and outliers . Concurrency and Computation: Practice and Experience 34:6.
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Faridoon Khan, Amena Urooj, Saud Ahmed Khan, Saima K. Khosa, Sara Muhammadullah & Zahra Almaspoor. (2022) Evaluating the Performance of Feature Selection Methods Using Huge Big Data: A Monte Carlo Simulation Approach. Mathematical Problems in Engineering 2022, pages 1-10.
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Muhammad Suhail, Iqra Babar, Yousaf Ali Khan, Muhammad Imran & Zeeshan Nawaz. (2021) Quantile-Based Estimation of Liu Parameter in the Linear Regression Model: Applications to Portland Cement and US Crime Data. Mathematical Problems in Engineering 2021, pages 1-11.
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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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Hirofumi Michimae, Masatoashi Matsunami & Takeshi Emura. (2019) Robust ridge regression for estimating the effects of correlated gene expressions on phenotypic traits. Environmental and Ecological Statistics 27:1, pages 41-72.
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Muhammad Suhail & Sohail Chand. (2019) Performance of some new ridge regression estimators. Performance of some new ridge regression estimators.
Zhao Chen, Junpeng Niu, Xinlong Cao, Wenbo Jiang, Jian Cui, Quanzhen Wang & Quan Zhang. (2019) Seed yield can be explained by altered yield components in field-grown western wheatgrass (Pascopyrum smithii Rydb.). Scientific Reports 9:1.
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