CATALINA
GARCÍA GARCÍA
PROFESORA TITULAR DE UNIVERSIDAD
Publicaciones (83) Publicaciones de CATALINA GARCÍA GARCÍA
2024
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A Redefined Variance Inflation Factor: Overcoming the Limitations of the Variance Inflation Factor
Computational Economics
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A review of ridge parameter selection: minimization of the mean squared error vs. mitigation of multicollinearity
Communications in Statistics: Simulation and Computation, Vol. 53, Núm. 8, pp. 3686-3698
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The Raise Regression: Justification, Properties and Application
International Statistical Review
2022
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Limitations in Detecting Multicollinearity due to Scaling Issues in the mcvis Package
R Journal, Vol. 14, Núm. 4, pp. 264-279
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The coefficient of determination in the ridge regression
Communications in Statistics: Simulation and Computation, Vol. 51, Núm. 1, pp. 201-219
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The multiColl Package Versus Other Existing Packages in R to Detect Multicollinearity
Computational Economics, Vol. 60, Núm. 2, pp. 439-450
2021
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A Guide to Using the R Package “multiColl” for Detecting Multicollinearity
Computational Economics, Vol. 57, Núm. 2, pp. 529-536
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Analysis of the condition number in the raise regression
Communications in Statistics - Theory and Methods, Vol. 50, Núm. 24, pp. 6195-6210
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Confronting collinearity in environmental regression models: evidence from world data
Statistical Methods and Applications, Vol. 30, Núm. 3, pp. 895-926
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Obtaining a threshold for the stewart index and its extension to ridge regression
Computational Statistics, Vol. 36, Núm. 2, pp. 1011-1029
2020
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A Geometrical Interpretation of Collinearity: A Natural Way to Justify Ridge Regression and Its Anomalies
International Statistical Review, Vol. 88, Núm. 3, pp. 776-792
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Comment on “A Note on Collinearity Diagnostics and Centering” by Velilla (2018)
American Statistician, Vol. 74, Núm. 1, pp. 68-71
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Detection of near-nulticollinearity through centered and noncentered regression
Mathematics, Vol. 8, Núm. 6
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Diagnosis and quantification of the non-essential collinearity
Computational Statistics, Vol. 35, Núm. 2, pp. 647-666
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Raise regression: Types of raising and mean square error
XXXIII Congreso Internacional de economía aplicada Asepelt 2019: economía azul
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Residualization: justification, properties and application
Journal of Applied Statistics, Vol. 47, Núm. 11, pp. 1990-2010
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Stewart index and collinearity: The case of raise regression
XXXIII Congreso Internacional de economía aplicada Asepelt 2019: economía azul
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The VIF and MSE in raise regression
Mathematics, Vol. 8, Núm. 4
2019
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Choice of the ridge factor from the correlation matrix determinant
Journal of Statistical Computation and Simulation, Vol. 89, Núm. 2, pp. 211-231
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Comment on “An extended STIRPAT model-based methodology for evaluating the driving forces affecting carbon emissions in existing public building sector: evidence from China in 2000–2015” by Ma et al. (2017)
Natural Hazards