Variance inflation factor and condition number in multiple linear regression R Salmeron, CB García, J García Journal of statistical computation and simulation 88 (12), 2365-2384, 2018 | 316 | 2018 |
Collinearity: revisiting the variance inflation factor in ridge regression CB García, J García, MM López Martín, R Salmerón Journal of Applied Statistics 42 (3), 648-661, 2015 | 243 | 2015 |
Collinearity diagnostic applied in ridge estimation through the variance inflation factor R Salmerón Gómez, J García Pérez, MDM López Martín, CG García Journal of Applied Statistics 43 (10), 1831-1849, 2016 | 210 | 2016 |
Standardization of variables and collinearity diagnostic in ridge regression J García, R Salmerón, C García, MM López Martín International Statistical Review 84 (2), 245-266, 2016 | 56 | 2016 |
The VIF and MSE in Raise Regression R Salmerón Gómez, A Rodríguez Sánchez, CG García, J García Pérez Mathematics 8 (4), 605, 2020 | 50* | 2020 |
Functional maximum-likelihood estimation of ARH (p) models MD Ruiz-Medina, R Salmerón Stochastic Environmental Research and Risk Assessment 24, 131-146, 2010 | 34 | 2010 |
Diagnosis and quantification of the non-essential collinearity R Salmerón-Gómez, A Rodríguez-Sánchez, C García-García Computational Statistics 35 (2), 647-666, 2020 | 32 | 2020 |
Overcoming the inconsistences of the variance inflation factor: A redefined VIF and a test to detect statistical troubling multicollinearity R Salmerón, C García, J García arXiv preprint arXiv:2005.02245, 2020 | 32 | 2020 |
The coefficient of determination in the ridge regression A Rodríguez Sánchez, R Salmerón Gómez, C García Communications in statistics-simulation and computation 51 (1), 201-219, 2022 | 30 | 2022 |
Residualization: Justification, properties and application CB García, R Salmerón, C García, J García Journal of Applied Statistics 47 (11), 1990-2010, 2020 | 30 | 2020 |
The VIF and MSE in Raise Regression R Salmerón Gómez, A Rodríguez Sánchez, CG García, J García Pérez Mathematics 8 (4), 605, 2020 | 28 | 2020 |
Métodos cuantitativos para un modelo de regresión lineal con multicolinealidad: Aplicación a rendimientos de letras del tesoro RS Gómez, ER Martínez Revista de Métodos Cuantitativos para la Economía y la Empresa 24, 169-189, 2017 | 27 | 2017 |
Influencia del entorno institucional en el desarrollo del emprendimiento español. Un análisis empírico S Gómez Haro, R Salmerón Gómez Universidad del Zulia. Venezuela, 2011 | 25 | 2011 |
Multi-spectral decomposition of functional autoregressive models R Salmerón, MD Ruiz-Medina Stochastic Environmental Research and Risk Assessment 23, 289-297, 2009 | 25 | 2009 |
Locating hyperplanes to fitting set of points: A general framework V Blanco, J Puerto, R Salmerón Computers & Operations Research 95, 172-193, 2018 | 23 | 2018 |
Transformation of variables and the condition number in ridge estimation R Salmerón, J García, C García, MM López Computational Statistics 33, 1497-1524, 2018 | 22 | 2018 |
The raise estimator estimation, inference, and properties R Salmeron, C Garcia, J Garcia, MM Lopez Communications in Statistics-Theory and Methods 46 (13), 6446-6462, 2017 | 22 | 2017 |
Kalman filtering from POP-based diagonalization of ARH (1) MD Ruiz-Medina, R Salmerón, JM Angulo Computational Statistics & Data Analysis 51 (10), 4994-5008, 2007 | 22 | 2007 |
A guide to using the r package “multicoll” for detecting multicollinearity R Salmerón-Gómez, C García-García, J García-Pérez Computational Economics 57, 529-536, 2021 | 20 | 2021 |
Relación entre los factores institucionales y el emprendimiento: análisis mediante técnicas cuantitativas RS Gómez, SG Haro Revista de Métodos Cuantitativos para la Economía y la Empresa 13, 54-72, 2012 | 20 | 2012 |