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Communications in Statistics - Simulation and Computation Volume 51, 2022 - Issue 1
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Original Articles

The coefficient of determination in the ridge regression

Ainara Rodríguez Sáncheza University of Granada, Granada, Spain
,
Román Salmerón Gómezb Quantitative Methods for Economics and Business, University of Granada, Granada, SpainORCID Iconhttps://orcid.org/0000-0003-2589-4058
ORCID Icon &
Catalina Garcíab Quantitative Methods for Economics and Business, University of Granada, Granada, SpainCorrespondence[email protected]
Pages 201-219 | Received 22 Oct 2018, Accepted 24 Jul 2019, Published online: 08 Oct 2019

Citations (14)

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Read on this site (2)

Catalina García García, Roman Salmerón Gómez & José García Pérez. (2022) A review of ridge parameter selection: minimization of the mean squared error vs. mitigation of multicollinearity. Communications in Statistics - Simulation and Computation 0:0, pages 1-13.
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A. F. Roldán López de Hierro, C. García & R. Salmerón. (2021) Analysis of the condition number in the raise regression. Communications in Statistics - Theory and Methods 50:24, pages 6195-6210.
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Articles from other publishers (12)

Román Salmerón-Gómez, Catalina B. García-García & José García-Pérez. (2024) A Redefined Variance Inflation Factor: Overcoming the Limitations of the Variance Inflation Factor. Computational Economics.
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Zhu Chang, Haiguo Yin, Yuekun Han & Linfeng Liang. (2024) Design and evaluation of thermal insulation of air layer for sentry building envelopes. Indoor and Built Environment.
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Yihong Zhou, Zening Wu, Hongshi Xu, Denghua Yan, Mengmeng Jiang, Xiangyang Zhang & Huiliang Wang. (2023) Adaptive selection and optimal combination scheme of candidate models for real-time integrated prediction of urban flood. Journal of Hydrology 626, pages 130152.
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Seyed-Ali Sadegh-Zadeh, Arman Dastmard, Leili Montazeri Kafshgarkolaei, Sajad Movahedi, Saeed Shiry Ghidary, Amirreza Najafi & Mozafar Saadat. (2023) Machine Learning Modelling for Compressive Strength Prediction of Superplasticizer-Based Concrete. Infrastructures 8:2, pages 21.
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Sandi Baressi Šegota, Ivan Lorencin, Zoran Kovač & Zlatan Car. (2023) On Approximating the pIC50 Value of COVID-19 Medicines In Silico with Artificial Neural Networks. Biomedicines 11:2, pages 284.
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Ahmed Alsayat & Hossein Ahmadi. (2023) Workers’ Opinions on Using the Internet of Things to Enhance the Performance of the Olive Oil Industry: A Machine Learning Approach. Processes 11:1, pages 271.
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Mohamed Ismail Mohamed Riyath & Uthuma Lebbe Muhammed Rijah. (2022) Adoption of a learning management system among educators of advanced technological institutes in Sri Lanka. Asian Association of Open Universities Journal 17:2, pages 161-177.
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Jinze Song, Yuhao Li, Shuai Liu, Youming Xiong, Weixin Pang, Yufa He & Yaxi Mu. (2022) Comparison of Machine Learning Algorithms for Sand Production Prediction: An Example for a Gas-Hydrate-Bearing Sand Case. Energies 15:18, pages 6509.
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Claudia García-García, Catalina B. García-García & Román Salmerón. (2021) Confronting collinearity in environmental regression models: evidence from world data. Statistical Methods & Applications 30:3, pages 895-926.
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Ainara Rodríguez Sánchez, Román Salmerón Gómez & Catalina García García. (2020) Obtaining a threshold for the stewart index and its extension to ridge regression. Computational Statistics 36:2, pages 1011-1029.
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Nikola Anđelić, Sandi Baressi Šegota, Ivan Lorencin, Vedran Mrzljak & Zlatan Car. (2021) Estimation of COVID-19 epidemic curves using genetic programming algorithm. Health Informatics Journal 27:1, pages 146045822097672.
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Román Salmerón Gómez, Ainara Rodríguez Sánchez, Catalina García García & José García Pérez. (2020) The VIF and MSE in Raise Regression. Mathematics 8:4, pages 605.
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