MÉTODOS CUANTITATIVOS PARA LA ECONOMÍA Y LA EMPRESA
DEPARTAMENTO
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Universidad de Almería
Almería, EspañaPublicaciones en colaboración con investigadores/as de Universidad de Almería (41)
2024
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A Redefined Variance Inflation Factor: Overcoming the Limitations of the Variance Inflation Factor
Computational Economics
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The Raise Regression: Justification, Properties and Application
International Statistical Review
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Transition towards circular economy in EU countries: A composite indicator and drivers of circularity
Sustainable Development
2022
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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
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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
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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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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The VIF and MSE in raise regression
Mathematics, Vol. 8, Núm. 4
2018
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Transformation of variables and the condition number in ridge estimation
Computational Statistics, Vol. 33, Núm. 3, pp. 1497-1524
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Variance Inflation Factor and Condition Number in multiple linear regression
Journal of Statistical Computation and Simulation, Vol. 88, Núm. 12, pp. 2365-2384
2017
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A NOTE ABOUT THE PERT CONSTANT VARIANCE ASSUMPTION
11TH INTERNATIONAL DAYS OF STATISTICS AND ECONOMICS
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A generalized method for valuing agricultural farms under uncertainty
Land Use Policy, Vol. 65, pp. 121-127
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A note about the corrected VIF
Statistical Papers, Vol. 58, Núm. 3, pp. 929-945
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ANALYSING THE INTERACTION BETWEEN THE PIB AND THE EDUCATION TO EXPLAIN THE CO2 EMISSIONS
11TH INTERNATIONAL DAYS OF STATISTICS AND ECONOMICS
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Regresión con variables ortogonales y regresión alzada en el modelo STIRPAT
Estudios de economía aplicada, Vol. 35, Núm. 3, pp. 717-734